repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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Hierarchical-Localization | Hierarchical-Localization-master/hloc/localize_inloc.py | import argparse
from pathlib import Path
import numpy as np
import h5py
from scipy.io import loadmat
import torch
from tqdm import tqdm
import pickle
import cv2
import pycolmap
from . import logger
from .utils.parsers import parse_retrieval, names_to_pair
def interpolate_scan(scan, kp):
h, w, c = scan.shape
... | 5,545 | 30.333333 | 79 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/match_features.py | import argparse
from typing import Union, Optional, Dict, List, Tuple
from pathlib import Path
import pprint
from queue import Queue
from threading import Thread
from functools import partial
from tqdm import tqdm
import h5py
import torch
from . import matchers, logger
from .utils.base_model import dynamic_load
from .... | 8,514 | 32.523622 | 80 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/match_dense.py | from tqdm import tqdm
import numpy as np
import h5py
import torch
from pathlib import Path
from typing import Dict, Iterable, Optional, List, Tuple, Union, Set
import pprint
import argparse
import torchvision.transforms.functional as F
from types import SimpleNamespace
from collections import defaultdict
from scipy.spa... | 22,408 | 37.371575 | 81 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/r2d2.py | import sys
from pathlib import Path
import torchvision.transforms as tvf
from ..utils.base_model import BaseModel
r2d2_path = Path(__file__).parent / "../../third_party/r2d2"
sys.path.append(str(r2d2_path))
from extract import load_network, NonMaxSuppression, extract_multiscale
class R2D2(BaseModel):
default_co... | 1,784 | 30.315789 | 71 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/cosplace.py | '''
Code for loading models trained with CosPlace as a global features extractor
for geolocalization through image retrieval.
Multiple models are available with different backbones. Below is a summary of
models available (backbone : list of available output descriptors
dimensionality). For example you can use a model b... | 1,451 | 29.893617 | 77 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/dir.py | import sys
from pathlib import Path
import torch
from zipfile import ZipFile
import os
import sklearn
import gdown
from ..utils.base_model import BaseModel
sys.path.append(str(
Path(__file__).parent / '../../third_party/deep-image-retrieval'))
os.environ['DB_ROOT'] = '' # required by dirtorch
from dirtorch.util... | 2,619 | 32.589744 | 111 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/dog.py | import kornia
from kornia.feature.laf import (
laf_from_center_scale_ori, extract_patches_from_pyramid)
import numpy as np
import torch
import pycolmap
from ..utils.base_model import BaseModel
EPS = 1e-6
def sift_to_rootsift(x):
x = x / (np.linalg.norm(x, ord=1, axis=-1, keepdims=True) + EPS)
x = np.sq... | 4,457 | 37.431034 | 78 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/superpoint.py | import sys
from pathlib import Path
import torch
from ..utils.base_model import BaseModel
sys.path.append(str(Path(__file__).parent / '../../third_party'))
from SuperGluePretrainedNetwork.models import superpoint # noqa E402
# The original keypoint sampling is incorrect. We patch it here but
# we don't fix it upst... | 1,439 | 31.727273 | 75 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/netvlad.py | from pathlib import Path
import subprocess
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
from scipy.io import loadmat
from ..utils.base_model import BaseModel
logger = logging.getLogger(__name__)
EPS = 1e-6
class NetVLADLaye... | 5,941 | 37.089744 | 98 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/openibl.py | import torch
import torchvision.transforms as tvf
from ..utils.base_model import BaseModel
class OpenIBL(BaseModel):
default_conf = {
'model_name': 'vgg16_netvlad',
}
required_inputs = ['image']
def _init(self, conf):
self.net = torch.hub.load(
'yxgeee/OpenIBL', conf['mod... | 741 | 27.538462 | 77 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/extractors/d2net.py | import sys
from pathlib import Path
import subprocess
import torch
from ..utils.base_model import BaseModel
d2net_path = Path(__file__).parent / '../../third_party/d2net'
sys.path.append(str(d2net_path))
from lib.model_test import D2Net as _D2Net
from lib.pyramid import process_multiscale
class D2Net(BaseModel):
... | 1,772 | 31.236364 | 78 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/matchers/nearest_neighbor.py | import torch
from ..utils.base_model import BaseModel
def find_nn(sim, ratio_thresh, distance_thresh):
sim_nn, ind_nn = sim.topk(2 if ratio_thresh else 1, dim=-1, largest=True)
dist_nn = 2 * (1 - sim_nn)
mask = torch.ones(ind_nn.shape[:-1], dtype=torch.bool, device=sim.device)
if ratio_thresh:
... | 2,292 | 35.396825 | 84 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/matchers/loftr.py | import torch
import warnings
from kornia.feature.loftr.loftr import default_cfg
from kornia.feature import LoFTR as LoFTR_
from ..utils.base_model import BaseModel
class LoFTR(BaseModel):
default_conf = {
'weights': 'outdoor',
'match_threshold': 0.2,
'max_num_matches': None,
}
req... | 1,618 | 28.981481 | 78 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/matchers/adalam.py | import torch
from ..utils.base_model import BaseModel
from kornia.feature.adalam import AdalamFilter
from kornia.utils.helpers import get_cuda_device_if_available
class AdaLAM(BaseModel):
# See https://kornia.readthedocs.io/en/latest/_modules/kornia/feature/adalam/adalam.html.
default_conf = {
'area... | 1,965 | 34.107143 | 93 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/utils/base_model.py | import sys
from abc import ABCMeta, abstractmethod
from torch import nn
from copy import copy
import inspect
class BaseModel(nn.Module, metaclass=ABCMeta):
default_conf = {}
required_inputs = []
def __init__(self, conf):
"""Perform some logic and call the _init method of the child model."""
... | 1,546 | 31.229167 | 78 | py |
Hierarchical-Localization | Hierarchical-Localization-master/hloc/pipelines/7Scenes/create_gt_sfm.py | from pathlib import Path
import numpy as np
import torch
import PIL.Image
from tqdm import tqdm
import pycolmap
from ...utils.read_write_model import write_model, read_model
def scene_coordinates(p2D, R_w2c, t_w2c, depth, camera):
assert len(depth) == len(p2D)
ret = pycolmap.image_to_world(p2D, camera._asdic... | 5,227 | 39.527132 | 79 | py |
batch-bandits | batch-bandits-main/CMAB/offline_evaluator.py | from matplotlib import pyplot as plt
from torch.utils.data import Dataset
from basics.base_agent import BaseAgent
class OfflineEvaluator:
def __init__(self, eval_info=None):
if eval_info is None:
eval_info = {}
self.dataset = eval_info['dataset']
self.agent = eval_info['agen... | 2,575 | 25.833333 | 105 | py |
batch-bandits | batch-bandits-main/utilities/dataloader.py | import pickle
import pandas as pd
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection import train_test_split
from utilities.data_generator import generate_samples
def data_randomizer(pickle_file, seed=None):
if isinstance(pickle_file, str):
with open(pickle_file, 'rb') as f:
... | 2,456 | 28.25 | 98 | py |
ecg-classification-quantized-cnn | ecg-classification-quantized-cnn-main/training.py | import torch
import torchvision
import torch.quantization
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import pickle as pk
import pandas as pd
import wfdb
import pywt
#import h5py
import math
import os
import sys
import ... | 59,583 | 34.319502 | 287 | py |
ecg-classification-quantized-cnn | ecg-classification-quantized-cnn-main/tool_onnxgen.py | import torch.nn as nn
import torch.nn.functional as F
import torch.onnx
import os
from pathlib import Path
import shutil
if os.path.isdir('./output/net/'):
print("Session already exists (./output/net/), overwrite the session? (y/n): ", end='')
force_write = input()
print("")
if force_write == "y":
... | 1,416 | 23.859649 | 91 | py |
ecg-classification-quantized-cnn | ecg-classification-quantized-cnn-main/evaluation.py | import torch
import torchvision
import torch.quantization
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import pickle as pk
import pandas as pd
import wfdb
import math
import os
import sys
import argparse
from pathlib imp... | 31,326 | 30.901222 | 147 | py |
neural-tangents | neural-tangents-main/setup.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,462 | 31.34058 | 95 | py |
neural-tangents | neural-tangents-main/examples/empirical_ntk.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,892 | 29.135417 | 80 | py |
neural-tangents | neural-tangents-main/examples/imdb.py | """An example doing inference with an infinitely wide attention network on IMDb.
Adapted from
https://github.com/google/neural-tangents/blob/main/examples/infinite_fcn.py
By default, this example does inference on a very small subset, and uses small
word embeddings for performance. A 300/300 train/test split takes 30... | 4,628 | 32.543478 | 80 | py |
neural-tangents | neural-tangents-main/examples/elementwise_numerical.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,016 | 32.616667 | 80 | py |
neural-tangents | neural-tangents-main/examples/datasets.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 6,991 | 32.454545 | 86 | py |
neural-tangents | neural-tangents-main/examples/util.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,503 | 37.564103 | 79 | py |
neural-tangents | neural-tangents-main/examples/infinite_fcn.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,505 | 33.805556 | 80 | py |
neural-tangents | neural-tangents-main/examples/function_space.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 3,399 | 34.789474 | 78 | py |
neural-tangents | neural-tangents-main/examples/elementwise.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,095 | 34.525424 | 80 | py |
neural-tangents | neural-tangents-main/examples/weight_space.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 3,533 | 32.339623 | 79 | py |
neural-tangents | neural-tangents-main/examples/experimental/empirical_ntk_tf.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 3,838 | 30.991667 | 80 | py |
neural-tangents | neural-tangents-main/tests/empirical_ntk_test.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,004 | 27.714286 | 74 | py |
neural-tangents | neural-tangents-main/tests/elementwise_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 996 | 26.694444 | 74 | py |
neural-tangents | neural-tangents-main/tests/rules_test.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 18,744 | 27.927469 | 80 | py |
neural-tangents | neural-tangents-main/tests/function_space_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,010 | 27.083333 | 74 | py |
neural-tangents | neural-tangents-main/tests/weight_space_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 999 | 27.571429 | 74 | py |
neural-tangents | neural-tangents-main/tests/imdb_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 925 | 25.457143 | 74 | py |
neural-tangents | neural-tangents-main/tests/batching_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 18,750 | 31.107877 | 80 | py |
neural-tangents | neural-tangents-main/tests/predict_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 44,227 | 36.197645 | 115 | py |
neural-tangents | neural-tangents-main/tests/empirical_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 55,785 | 32.009467 | 214 | py |
neural-tangents | neural-tangents-main/tests/monte_carlo_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 9,216 | 31.340351 | 80 | py |
neural-tangents | neural-tangents-main/tests/infinite_fcn_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,002 | 26.861111 | 74 | py |
neural-tangents | neural-tangents-main/tests/elementwise_numerical_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,045 | 28.055556 | 74 | py |
neural-tangents | neural-tangents-main/tests/test_utils.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 13,913 | 30.622727 | 80 | py |
neural-tangents | neural-tangents-main/tests/stax/elementwise_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31,260 | 29.058654 | 83 | py |
neural-tangents | neural-tangents-main/tests/stax/stax_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 30,440 | 29.38024 | 80 | py |
neural-tangents | neural-tangents-main/tests/stax/combinators_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,604 | 26.909091 | 80 | py |
neural-tangents | neural-tangents-main/tests/stax/branching_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 7,845 | 28.946565 | 80 | py |
neural-tangents | neural-tangents-main/tests/stax/linear_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 58,065 | 30.782157 | 80 | py |
neural-tangents | neural-tangents-main/tests/stax/requirements_test.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 15,503 | 31.099379 | 80 | py |
neural-tangents | neural-tangents-main/tests/experimental/empirical_tf_test.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 10,792 | 26.96114 | 78 | py |
neural-tangents | neural-tangents-main/docs/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 6,268 | 27.889401 | 79 | py |
neural-tangents | neural-tangents-main/neural_tangents/stax.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,458 | 25.861446 | 79 | py |
neural-tangents | neural-tangents-main/neural_tangents/__init__.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,238 | 35.441176 | 80 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/empirical.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 85,801 | 35.325995 | 117 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/batching.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 27,509 | 35.102362 | 81 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/predict.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 49,629 | 35.817507 | 127 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/monte_carlo.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 14,540 | 40.784483 | 151 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/stax/combinators.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 8,959 | 34 | 87 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/stax/requirements.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 39,172 | 33.913547 | 125 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/stax/linear.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 133,918 | 34.223304 | 115 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/stax/branching.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 16,445 | 33.623158 | 80 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/stax/elementwise.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 42,542 | 29.940364 | 109 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/utils/typing.py | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 6,397 | 25.114286 | 103 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/utils/utils.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 19,310 | 28.618098 | 110 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/utils/rules.py | """Structured derivatives rules."""
from .dataclasses import dataclass, field
import functools
from typing import Callable, Optional, Tuple, Dict, List, Union, Any
from . import utils
import jax
from jax import lax
from jax.core import JaxprEqn, ShapedArray, Primitive, Jaxpr, Var, AbstractValue, Literal
from jax.inte... | 31,709 | 27.3125 | 138 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/utils/dataclasses.py | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,106 | 31.338583 | 80 | py |
neural-tangents | neural-tangents-main/neural_tangents/_src/utils/kernel.py | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 19,210 | 36.742633 | 103 | py |
neural-tangents | neural-tangents-main/neural_tangents/experimental/empirical_tf/empirical.py | # Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 13,523 | 43.633663 | 168 | py |
CS-Unet | CS-Unet-main/test.py | import argparse
import logging
import os
import random
import sys
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from datasets.dataset_synapse import Synapse_dataset
from datasets.dataset_ACDC import ACDCdataset
fr... | 7,236 | 46.300654 | 159 | py |
CS-Unet | CS-Unet-main/trainer_ACDC.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import sys
import logging
import torch
import torch.nn as nn
import torch.optim as optim
from torch.nn.modules.loss import CrossEntropyLoss
import torchvision
# import matplotlib.pyplot as plt
from utils.utils import DiceLoss
from torch.utils.data import DataLoader
from data... | 8,164 | 42.663102 | 132 | py |
CS-Unet | CS-Unet-main/metrics.py | import torch
import numpy as np
from hausdorff import hausdorff_distance
from medpy.metric.binary import hd, dc
def dice(pred, target):
pred = pred.contiguous()
target = target.contiguous()
smooth = 0.00001
# intersection = (pred * target).sum(dim=2).sum(dim=2)
pred_flat = pred.view(1, -1)
tar... | 4,492 | 29.773973 | 120 | py |
CS-Unet | CS-Unet-main/train.py | import argparse
import logging
import os
import random
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from networks.vision_transformer import CS_Unet as ViT_seg
from trainer import trainer_synapse
from trainer_ACDC import trainer_acdc
from config import get_config
parser = argparse.ArgumentParse... | 5,517 | 43.144 | 110 | py |
CS-Unet | CS-Unet-main/trainer.py | import argparse
import logging
import os
import random
import sys
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tensorboardX import SummaryWriter
from torch.nn.modules.loss import CrossEntropyLoss
from torch.utils.data import DataLoade... | 9,360 | 45.572139 | 118 | py |
CS-Unet | CS-Unet-main/networks/vision_transformer.py | # coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import logging
import math
from os.path import join as pjoin
import torch
import torch.nn as nn
import numpy as np
from torch.nn import CrossEntropyLoss, Dropout, Softmax, Linear, ... | 3,953 | 42.450549 | 113 | py |
CS-Unet | CS-Unet-main/networks/conv_swin_transformer_unet_skip_expand_decoder_sys.py | import torch
import torch.nn as nn
import torch.utils.checkpoint as checkpoint
from einops import rearrange
from timm.models.layers import DropPath, to_2tuple, trunc_normal_
from einops.layers.torch import Rearrange
class Mlp(nn.Module):
def __init__(self, dim, drop_path=0.2, layer_scale_init_value=0.7):
... | 32,474 | 43.123641 | 217 | py |
CS-Unet | CS-Unet-main/datasets/dataset_synapse.py | import os
import random
import h5py
import numpy as np
import torch
from scipy import ndimage
from scipy.ndimage.interpolation import zoom
from torch.utils.data import Dataset
import json
import torchvision.transforms as T
from .aug import RandomAffine, GaussianBlur, To_PIL_Image,JointCompose, JointTo_Tensor
def norma... | 4,893 | 34.463768 | 106 | py |
CS-Unet | CS-Unet-main/datasets/dataset_ACDC.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import random
import numpy as np
import torch
from scipy import ndimage
from scipy.ndimage.interpolation import zoom
from torch.utils.data import Dataset
from .aug import RandomAffine, GaussianBlur, To_PIL_Image,JointCompose, JointTo_Tensor
import torchvision.tran... | 2,871 | 34.02439 | 106 | py |
CS-Unet | CS-Unet-main/datasets/aug.py | import numpy as np
import random
import numbers
from torchvision.transforms import functional as F
from PIL import Image, ImageFilter
import torch
_pil_interpolation_to_str = {
Image.NEAREST: 'PIL.Image.NEAREST',
Image.BILINEAR: 'PIL.Image.BILINEAR',
Image.BICUBIC: 'PIL.Image.BICUBIC',
Image.LANCZOS: '... | 9,525 | 39.194093 | 160 | py |
CS-Unet | CS-Unet-main/utils/test_ACDC.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import logging
import numpy as np
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from utils.utils import test_single_volume
def inference(args, model, testloader, test_save_path=None):
logging.info("{} test iterations per epoch".format(len(... | 1,585 | 45.647059 | 151 | py |
CS-Unet | CS-Unet-main/utils/utils.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import numpy as np
import torch
from medpy import metric
import torch.nn as nn
from PIL import Image
from torchvision import transforms
import SimpleITK as sitk
from scipy.ndimage import zoom
class Normalize():
def __call__(self, sample):
function = transforms... | 6,398 | 35.152542 | 127 | py |
CS-Unet | CS-Unet-main/utils/test_Synapse.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import logging
import numpy as np
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from utils.utils import test_single_volume
def inference(args, model, testloader, test_save_path=None):
logging.info("{} test iterations per epoch".format(len(... | 1,598 | 50.580645 | 151 | py |
DeepPersonality | DeepPersonality-main/dpcv/__init__.py | import torch
import sys
import os
current_path = os.path.dirname(os.path.abspath(__file__))
sys.path.append(current_path)
# optionally print the sys.path for debugging)
# print("in _ _init_ _.py sys.path:\n ",sys.path)
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
| 290 | 28.1 | 69 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/utils.py | # Copyright (C) 2020-2021, François-Guillaume Fernandez.
# This program is licensed under the Apache License version 2.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details.
import torch
from torch import Tensor
from torch import nn
from typing import List, Optional, Tuple... | 2,449 | 29.246914 | 115 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/excitation_bp.py | import weakref
import torch
import math
import torch.nn.functional as F
# EPSILON_DOUBLE = torch.tensor(2.220446049250313e-16, dtype=torch.float64)
EPSILON_SINGLE = torch.tensor(1.19209290E-07, dtype=torch.float32)
SQRT_TWO_DOUBLE = torch.tensor(math.sqrt(2), dtype=torch.float32)
SQRT_TWO_SINGLE = SQRT_TWO_DOUBLE.to(t... | 21,113 | 33.726974 | 79 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/common.py | import os
import torch
import random
import numpy as np
import argparse
def setup_config(args, cfg):
# cfg.DATA_ROOT = args.data_root_dir if args.data_root_dir else cfg.DATA_ROOT
cfg.LR_INIT = args.lr if args.lr else cfg.LR_INIT
cfg.TRAIN_BATCH_SIZE = args.bs if args.bs else cfg.TRAIN_BATCH_SIZE
cfg.M... | 2,633 | 24.085714 | 81 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/cam.py | """
# Copyright (C) 2020-2021, François-Guillaume Fernandez.
# This program is licensed under the Apache License version 2.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details.
# code modified from https://github.com/frgfm/torch-cam/tree/master/torchcam/cams
"""
from typing... | 16,934 | 38.567757 | 117 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/draw.py | import math
import os
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import torch
def show_confMat(confusion_mat, classes, set_name, out_dir, epoch=999, verbose=False, perc=False):
cls_num = len(classes)
confusion_mat_tmp = confusion_mat.copy()
for i in range(len(classes)):
... | 5,948 | 33.189655 | 114 | py |
DeepPersonality | DeepPersonality-main/dpcv/tools/cam_vis.py | """
code modified from https://github.com/frgfm/torch-cam/tree/master/torchcam
"""
import torch
from matplotlib import cm
import numpy as np
from PIL import Image
def to_pil_image(pic, mode=None):
"""Convert a tensor or an ndarray to PIL Image.
See :class:`~torchvision.transforms.ToPILImage` for more details... | 4,942 | 35.88806 | 112 | py |
DeepPersonality | DeepPersonality-main/dpcv/checkpoint/save.py | import os
import torch
def save_model(epoch, best_acc, model, optimizer, output_dir, cfg):
if isinstance(optimizer, list):
optimizer = optimizer[1] # for cr net
checkpoint = {
"model_state_dict": model.state_dict(),
"optimizer_state_dict": optimizer.state_dict(),
"epoch": epoc... | 1,025 | 30.090909 | 107 | py |
DeepPersonality | DeepPersonality-main/dpcv/checkpoint/load.py | import re
from collections import OrderedDict
def load_state_dict(module, state_dict, strict=False, logger=None):
"""Load state_dict to a module.
This method is modified from :meth:`torch.nn.Module.load_state_dict`.
Default value for ``strict`` is set to ``False`` and the message for
param mismatch w... | 7,798 | 35.787736 | 79 | py |
DeepPersonality | DeepPersonality-main/dpcv/experiment/exp_runner.py | import os
import json
import numpy as np
import torch
from datetime import datetime
from dpcv.data.datasets.build import build_dataloader
from dpcv.modeling.networks.build import build_model
from dpcv.modeling.loss.build import build_loss_func
from dpcv.modeling.solver.build import build_solver, build_scheduler
from dp... | 6,336 | 36.720238 | 119 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/13_tpn_on_personality.py | import torch.nn as nn
import torch.optim as optim
from dpcv.config.tpn_cfg import cfg
from dpcv.modeling.networks.TSN2D import get_tpn_model
from dpcv.tools.common import setup_seed, setup_config
from dpcv.tools.logger import make_logger
from dpcv.tools.common import parse_args
from dpcv.evaluation.summary import Train... | 1,291 | 31.3 | 101 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/04_cr_audiovisual_network.py | import torch.nn as nn
import torch.optim as optim
from datetime import datetime
from dpcv.config.crnet_cfg import cfg as cr_cfg
from dpcv.engine.crnet_trainer import CRNetTrainer
from dpcv.tools.logger import make_logger
from dpcv.modeling.networks.cr_net import get_crnet_model
from dpcv.checkpoint.save import save_mod... | 3,449 | 40.071429 | 119 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/08_senet_on_personality.py | import torch.optim as optim
import torch.nn as nn
from dpcv.config.senet_cfg import cfg
from dpcv.modeling.module.se_resnet import se_resnet50
from dpcv.tools.common import setup_seed, setup_config
from dpcv.tools.logger import make_logger
from dpcv.tools.common import parse_args
from dpcv.evaluation.summary import Tra... | 1,314 | 31.875 | 101 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/09_hrnet_on_personality.py | import torch.optim as optim
import torch.nn as nn
from dpcv.config.hrnet_cls_cfg import cfg
from dpcv.modeling.networks.hr_net_cls import get_hr_net_model
from dpcv.tools.common import setup_seed, setup_config
from dpcv.tools.logger import make_logger
from dpcv.tools.common import parse_args
from dpcv.evaluation.summar... | 1,330 | 32.275 | 101 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/01_deep_bimodal_regression_image.py | import torch.nn as nn
import torch.optim as optim
from dpcv.config.deep_bimodal_regression_cfg import cfg
from dpcv.engine.bi_modal_trainer import ImageModalTrainer
from dpcv.modeling.networks.dan import get_model
from dpcv.tools.common import setup_seed, setup_config
from dpcv.tools.logger import make_logger
from dpcv... | 1,337 | 33.307692 | 101 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/05_persEmoN.py | import torch.optim as optim
from dpcv.config.per_emo_cfg import cfg
from dpcv.modeling.networks.sphereface_net import get_pers_emo_model
from dpcv.tools.common import setup_seed, setup_config
from dpcv.tools.logger import make_logger
from dpcv.tools.common import parse_args
from dpcv.evaluation.summary import TrainSumm... | 1,363 | 33.1 | 101 | py |
DeepPersonality | DeepPersonality-main/dpcv/exps_first_stage/07_interpret_audio_net.py | import torch
import torch.nn as nn
import torch.optim as optim
import torchaudio
from dpcv.config.interpret_aud_cfg import cfg
from dpcv.engine.bi_modal_trainer import AudioTrainer
from dpcv.modeling.networks.audio_interpretability_net import get_model
from dpcv.tools.common import setup_seed, setup_config
from dpcv.to... | 3,415 | 34.583333 | 101 | py |
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