repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0061_project_annotation_guideline_link.py | # Generated by Django 2.2.24 on 2021-11-02 17:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0060_auto_20211022_0940'),
]
operations = [
migrations.AddField(
model_name='project',
name='annotation_guid... | 671 | 34.368421 | 320 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0020_projectannotateentities_train_model_on_submit.py | # Generated by Django 2.2.9 on 2020-01-08 11:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0019_annotatedentity_correct'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
n... | 419 | 21.105263 | 52 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0013_auto_20191001_2248.py | # Generated by Django 2.2.5 on 2019-10-01 22:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0012_conceptdb_use_for_training'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
... | 455 | 23 | 87 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0002_auto_20190923_2342.py | # Generated by Django 2.2.5 on 2019-09-23 23:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='annotatedentity',
name='correct',
... | 897 | 25.411765 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0038_auto_20200407_1418.py | # Generated by Django 2.2.11 on 2020-04-07 14:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0037_auto_20200320_0107'),
]
operations = [
migrations.AlterField(
model_name='concept',
name='cui',
... | 382 | 19.157895 | 51 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0040_projectannotateentities_restrict_concept_lookup.py | # Generated by Django 2.2.12 on 2020-04-16 19:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0039_project_cuis_file'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
name='... | 417 | 21 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0024_auto_20200131_2339.py | # Generated by Django 2.2.9 on 2020-01-31 23:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0023_concept_opcs4'),
]
operations = [
migrations.CreateModel(
name='ICDCode',
fields=[
('id'... | 1,560 | 31.520833 | 114 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0017_delete_link.py | # Generated by Django 2.2.3 on 2019-10-02 23:28
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0016_auto_20191002_2306'),
]
operations = [
migrations.DeleteModel(
name='Link',
),
]
| 289 | 16.058824 | 47 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0041_auto_20200519_1544.py | # Generated by Django 2.2.12 on 2020-05-19 15:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0040_projectannotateentities_restrict_concept_lookup'),
]
operations = [
migrations.AlterField(
model_name='project',
... | 538 | 27.368421 | 172 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0014_conceptdb_name.py | # Generated by Django 2.2.3 on 2019-10-02 16:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0013_auto_20191001_2248'),
]
operations = [
migrations.AddField(
model_name='conceptdb',
name='name',
... | 406 | 20.421053 | 75 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0067_delete_concept.py | # Generated by Django 2.2.28 on 2023-01-24 12:03
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0066_exportedproject'),
]
operations = [
migrations.DeleteModel(
name='Concept',
),
]
| 290 | 16.117647 | 48 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0001_initial.py | # Generated by Django 2.2.3 on 2019-09-22 15:49
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
migrations.swa... | 9,743 | 47.964824 | 205 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0003_auto_20190924_1934.py | # Generated by Django 2.2.3 on 2019-09-24 19:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0002_auto_20190923_2342'),
]
operations = [
migrations.RemoveField(
model_name='annotatedentity',
name='corre... | 506 | 21.043478 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0006_concept_icd10.py | # Generated by Django 2.2.5 on 2019-09-26 23:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0005_annotatedentity_alternative'),
]
operations = [
migrations.AddField(
model_name='concept',
name='icd10',... | 398 | 20 | 59 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0021_auto_20200124_1108.py | # Generated by Django 2.2.9 on 2020-01-24 11:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0020_projectannotateentities_train_model_on_submit'),
]
operations = [
migrations.AlterField(
model_name='projectannotate... | 447 | 22.578947 | 70 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0029_auto_20200208_1609.py | # Generated by Django 2.2.9 on 2020-02-08 16:09
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0028_auto_20200208_1559'),
]
operations = [
migrations.RemoveField(
model_name='annotate... | 961 | 28.151515 | 124 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0056_auto_20210417_0926.py | # Generated by Django 2.2.9 on 2021-04-17 09:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0055_auto_20210417_0902'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
name... | 560 | 28.526316 | 194 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0027_auto_20200208_1443.py | # Generated by Django 2.2.9 on 2020-02-08 14:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0026_auto_20200204_1517'),
]
operations = [
migrations.AddField(
model_name='annotateden... | 1,002 | 29.393939 | 124 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0011_projectannotateentities_cdb_search_filter.py | # Generated by Django 2.2.3 on 2019-09-29 17:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0010_annotatedentity_last_modified'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
... | 453 | 22.894737 | 84 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0046_auto_20200802_1006.py | # Generated by Django 2.2.12 on 2020-08-02 10:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0045_auto_20200603_0934'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
nam... | 1,298 | 37.205882 | 182 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/__init__.py | 0 | 0 | 0 | py | |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0007_concept_cdb.py | # Generated by Django 2.2.3 on 2019-09-27 22:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0006_concept_icd10'),
]
operations = [
migrations.AddField(
model_name='concept',
... | 481 | 23.1 | 125 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0034_auto_20200212_0022.py | # Generated by Django 2.2.9 on 2020-02-12 00:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0033_auto_20200212_0021'),
]
operations = [
migrations.AlterField(
model_name='annotatedentity',
name='create... | 404 | 20.315789 | 58 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0016_auto_20191002_2306.py | # Generated by Django 2.2.3 on 2019-10-02 23:06
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0015_auto_20191002_1615'),
]
operations = [
migrations.RemoveField(
model_name='projecta... | 1,104 | 31.5 | 118 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0048_projectcuicounter.py | # Generated by Django 2.0 on 2021-01-13 03:54
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0047_auto_20210112_0355'),
]
operations = [
migrations.CreateModel(
name='ProjectCuiCounte... | 762 | 30.791667 | 114 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0047_auto_20210112_0355.py | # Generated by Django 2.0 on 2021-01-12 03:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0046_auto_20200802_1006'),
]
operations = [
migrations.AlterField(
model_name='concept',
name='cui',
... | 569 | 22.75 | 66 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0055_auto_20210417_0902.py | # Generated by Django 2.2.9 on 2021-04-17 09:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0054_remove_concept_vocab'),
]
operations = [
migrations.AlterField(
model_name='concept',
name='cui',
... | 411 | 20.684211 | 79 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0065_auto_20221129_1102.py | # Generated by Django 2.2.28 on 2022-11-29 11:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0064_auto_20220606_1253'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
nam... | 609 | 31.105263 | 248 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0049_auto_20210202_1539.py | # Generated by Django 2.0 on 2021-02-02 15:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0048_projectcuicounter'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='irrelevant'... | 639 | 25.666667 | 114 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0044_projectannotateentities_terminate_available.py | # Generated by Django 2.2.12 on 2020-06-03 08:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0043_auto_20200520_1018'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
name=... | 468 | 23.684211 | 107 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0069_auto_20230711_0938.py | # Generated by Django 2.2.28 on 2023-07-11 09:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0068_auto_20230203_1715'),
]
operations = [
migrations.AddField(
model_name='project',
name='annotation_clas... | 1,097 | 36.862069 | 207 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0066_exportedproject.py | # Generated by Django 2.2.28 on 2023-01-05 18:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0065_auto_20221129_1102'),
]
operations = [
migrations.CreateModel(
name='ExportedProject',
fields=[
... | 591 | 27.190476 | 130 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0025_auto_20200131_2353.py | # Generated by Django 2.2.9 on 2020-01-31 23:53
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0024_auto_20200131_2339'),
]
operations = [
migrations.AddField(
model_name='icdcode',
... | 711 | 27.48 | 125 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0037_auto_20200320_0107.py | # Generated by Django 2.2.11 on 2020-03-20 01:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0036_auto_20200320_0105'),
]
operations = [
migrations.AlterField(
model_name='projecta... | 526 | 25.35 | 139 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0015_auto_20191002_1615.py | # Generated by Django 2.2.3 on 2019-10-02 16:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0014_conceptdb_name'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
name='task... | 750 | 24.896552 | 86 | py |
MedCATtrainer | MedCATtrainer-master/docs/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 2,184 | 31.132353 | 79 | py |
DESIGNER | DESIGNER-master/designer/__init__.py | 1 | 0 | 0 | py | |
DESIGNER | DESIGNER-master/utils/mpdenoise.py | """A Python class containing an implimentation of MPPCA denoising.
Inputs are a 4D image with dimentions (X x Y x Z x N)
Usage:
import mpdenoise as mp
imgdn, sigma, nparameters = mp.denoise(img, kernel=[7,7,7], M=60, shrinkage='frobenius')
LICENCE
Authors: Benjamin Ades-Aron (... | 12,009 | 35.953846 | 127 | py |
DESIGNER | DESIGNER-master/utils/__init__.py | from utils import mpdenoise
| 28 | 13.5 | 27 | py |
DESIGNER | DESIGNER-master/utils/mpdenoise_sj.py | """A Python class containing an implimentation of MPPCA denoising.
Inputs are a 4D image with dimentions (X x Y x Z x N)
Usage:
import mpdenoise as mp
imgdn, sigma, nparameters = mp.denoise(img, kernel=[7,7,7], M=60, shrinkage='frobenius')
LICENCE
Authors: Benjamin Ades-Aron (... | 13,772 | 35.630319 | 127 | py |
RDPD | RDPD-master/main.py | # -*- coding: utf-8 -*-
"""
"""
import os
import dill
import numpy as np
from util import read_pamap, read_ptbdb, read_mimic_diag, my_eval
from config import *
from time import gmtime, strftime
from model import BaseCRNN
import torch.optim as optim
import torch.nn.functional as F
import torch
from torch.autograd impo... | 13,490 | 37.65616 | 148 | py |
RDPD | RDPD-master/model.py | # -*- coding: utf-8 -*-
"""
"""
import dill
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class BaseCRNN(nn.Module):
def __init__(self, config):
super(BaseCRNN, self).__init__()
self.config = config
self.len_data = config['l... | 6,785 | 32.264706 | 83 | py |
RDPD | RDPD-master/config.py | # -------------------------------- MIMIC diag --------------------------------
# teacher model
config_mimic_diag_teacher = {
'model_type': 'teacher',
'is_debug': False,
'batch_size': 128,
'len_data': 48,
'len_split': 12,
'n_channel': 6,
'n_class': 8,
'temperature': 5,
... | 3,028 | 16.508671 | 78 | py |
RDPD | RDPD-master/util.py | # -*- coding: utf-8 -*-
"""
"""
import dill
import numpy as np
from scipy import interpolate
import copy
from collections import Counter
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, roc_auc_score, average_precision_score, f1_score, confusion_matrix
## ------------... | 6,420 | 33.154255 | 141 | py |
mixture-of-diffusers | mixture-of-diffusers-master/setup.py | import os
from setuptools import setup
# Read long description from readme
with open("README.md", "r", encoding="utf-8") as fh:
LONG_DESCRIPTION = fh.read()
# Get tag from Github environment variables
TAG = os.environ['GITHUB_TAG'] if 'GITHUB_TAG' in os.environ else "0.0.0"
setup(
name="mixdiff",
vers... | 1,542 | 29.86 | 100 | py |
mixture-of-diffusers | mixture-of-diffusers-master/generate_grid_from_json.py | import argparse
import datetime
from diffusers import LMSDiscreteScheduler, DDIMScheduler
import json
from pathlib import Path
import torch
from mixdiff.tiling import StableDiffusionTilingPipeline
def generate_grid(generation_arguments):
model_id = "CompVis/stable-diffusion-v1-4"
# Prepared scheduler
if g... | 2,454 | 49.102041 | 145 | py |
mixture-of-diffusers | mixture-of-diffusers-master/generate_grid.py | from copy import deepcopy
import datetime
from diffusers import LMSDiscreteScheduler, DDIMScheduler
import git
import json
import numpy as np
from pathlib import Path
from mixdiff import StableDiffusionTilingPipeline
### CONFIG START
n = 3
sche = "lms"
gc = 8
seed = None
steps = 50
suffix = "elegant, highly detailed... | 4,200 | 33.719008 | 130 | py |
mixture-of-diffusers | mixture-of-diffusers-master/mixdiff/canvas.py | from copy import deepcopy
from dataclasses import asdict, dataclass
from enum import Enum
import numpy as np
from numpy import pi, exp, sqrt
import re
import torch
from torchvision.transforms.functional import resize
from tqdm.auto import tqdm
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
... | 20,181 | 49.836272 | 224 | py |
mixture-of-diffusers | mixture-of-diffusers-master/mixdiff/extrasmixin.py | from copy import deepcopy
# TODO: remove after adaptaing tiling to use canvas
class StableDiffusionExtrasMixin:
"""Mixin providing additional convenience method to Stable Diffusion pipelines"""
def decode_latents(self, latents, cpu_vae=False):
"""Decodes a given array of latents into pixel space"""
... | 760 | 30.708333 | 85 | py |
mixture-of-diffusers | mixture-of-diffusers-master/mixdiff/tiling.py | from enum import Enum
import inspect
from ligo.segments import segment
from typing import List, Optional, Tuple, Union
import torch
from tqdm.auto import tqdm
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.pi... | 15,330 | 52.232639 | 218 | py |
mixture-of-diffusers | mixture-of-diffusers-master/mixdiff/imgtools.py | import numpy as np
import torch
from PIL import Image, ImageFilter
def preprocess_image(image):
"""Preprocess an input image
Same as https://github.com/huggingface/diffusers/blob/1138d63b519e37f0ce04e027b9f4a3261d27c628/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py#L44
... | 1,458 | 39.527778 | 180 | py |
mixture-of-diffusers | mixture-of-diffusers-master/mixdiff/__init__.py | from .canvas import Image2ImageRegion, RerollRegion, StableDiffusionCanvasPipeline, Text2ImageRegion
from .imgtools import preprocess_image
from .tiling import StableDiffusionTilingPipeline | 189 | 62.333333 | 100 | py |
mixture-of-diffusers | mixture-of-diffusers-master/tests/canvas_test.py | from diffusers import LMSDiscreteScheduler
from PIL import Image
import pytest
from mixdiff import Image2ImageRegion, StableDiffusionCanvasPipeline, Text2ImageRegion, preprocess_image
from mixdiff.canvas import CanvasRegion
### CanvasRegion tests
@pytest.mark.parametrize("region_params", [
{"row_init": 0, "row_e... | 7,259 | 50.126761 | 191 | py |
mixture-of-diffusers | mixture-of-diffusers-master/tests/__init__.py | 0 | 0 | 0 | py | |
ACME | ACME-master/test.py | import os
import time
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import torch.backends.cudnn as cudnn
from ... | 5,828 | 28.145 | 119 | py |
ACME | ACME-master/args.py | import argparse
def get_parser():
parser = argparse.ArgumentParser(description='tri-joint parameters')
# general
parser.add_argument('--seed', default=1234, type=int)
parser.add_argument('--device', default=[0], type=list)
# data
parser.add_argument('--img_path', default='../im2recipe-Pytorch... | 2,906 | 47.45 | 119 | py |
ACME | ACME-master/data_loader.py | from __future__ import print_function
import torch.utils.data as data
from PIL import Image
import os
import sys
import pickle
import numpy as np
import lmdb
import torch
import pdb
import torchvision.transforms as transforms
import nltk
from build_vocab import Vocabulary
from args import get_parser
parser = get_pars... | 6,119 | 35 | 115 | py |
ACME | ACME-master/triplet_loss.py | from __future__ import print_function
import torch
from torch import nn
from torch.autograd import Variable
class TripletLoss(object):
"""Modified from Tong Xiao's open-reid (https://github.com/Cysu/open-reid).
Related Triplet Loss theory can be found in paper 'In Defense of the Triplet
Loss for Person Re-Iden... | 3,225 | 30.940594 | 79 | py |
ACME | ACME-master/models.py | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.legacy as legacy
import torch.optim
import torch.utils.data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import torchwordemb
from args import get_parser
import pdb
import t... | 21,061 | 34.698305 | 121 | py |
ACME | ACME-master/train.py | import os
import time
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import torch.backends.cudnn as cudnn
from ... | 16,687 | 34.430998 | 120 | py |
ACME | ACME-master/build_vocab.py | import nltk
import pickle
import argparse
from collections import Counter
class Vocabulary(object):
"""Simple vocabulary wrapper."""
def __init__(self):
self.word2idx = {}
self.idx2word = {}
self.idx = 0
def add_word(self, word):
if not word in self.word2idx:
s... | 2,783 | 31.752941 | 89 | py |
czsl | czsl-main/test.py | # Torch imports
import torch
from torch.utils.tensorboard import SummaryWriter
import torch.backends.cudnn as cudnn
import numpy as np
from flags import DATA_FOLDER
cudnn.benchmark = True
# Python imports
import tqdm
from tqdm import tqdm
import os
from os.path import join as ospj
# Local imports
from data import d... | 6,227 | 32.12766 | 120 | py |
czsl | czsl-main/flags.py | import argparse
DATA_FOLDER = "ROOT_FOLDER"
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--config', default='configs/args.yml', help='path of the config file (training only)')
parser.add_argument('--dataset', default='mitstates', help='mitstates|zappos'... | 6,928 | 77.738636 | 148 | py |
czsl | czsl-main/train.py | # Torch imports
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter
import torch.backends.cudnn as cudnn
cudnn.benchmark = True
# Python imports
import tqdm
from tqdm import tqdm
import os
from os.path import join as ospj
import csv
#Local imports
from... | 7,551 | 31.13617 | 120 | py |
czsl | czsl-main/models/svm.py | import numpy as np
import tqdm
from data import dataset as dset
import os
from utils import utils
import torch
from torch.autograd import Variable
import h5py
from sklearn.svm import LinearSVC
from sklearn.model_selection import GridSearchCV
import torch.nn.functional as F
from joblib import Parallel, delayed
import gl... | 9,922 | 40.345833 | 154 | py |
czsl | czsl-main/models/visual_product.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import numpy as np
from .common import MLP
class VisualProductNN(nn.Module):
def __init__(self, dset, args):
super(VisualProductNN, self).__init__()
self.attr_clf = MLP(dset.feat_dim, len(dset.att... | 1,457 | 29.375 | 78 | py |
czsl | czsl-main/models/symnet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .word_embedding import load_word_embeddings
from .common import MLP
device = 'cuda' if torch.cuda.is_available() else 'cpu'
class Symnet(nn.Module):
def __init__(self, dset, args):
super(Symnet, self).__init__()
... | 9,135 | 41.691589 | 188 | py |
czsl | czsl-main/models/manifold_methods.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .word_embedding import load_word_embeddings
from .common import MLP, Reshape
from flags import DATA_FOLDER
device = 'cuda' if torch.cuda.is_available() else 'cpu'
class ManifoldModel(nn.Module):
def __init__(self, dset, ar... | 15,296 | 40.681199 | 118 | py |
czsl | czsl-main/models/common.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import copy
from scipy.stats import hmean
device = 'cuda' if torch.cuda.is_available() else 'cpu'
class MLP(nn.Module):
'''
Baseclass to create a simple MLP
Inputs
inp_dim: Int, Input dimension
out-dim: I... | 20,689 | 39.174757 | 144 | py |
czsl | czsl-main/models/gcn.py | import numpy as np
import scipy.sparse as sp
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.init import xavier_uniform_
device = 'cuda' if torch.cuda.is_available() else 'cpu'
def normt_spm(mx, method='in'):
if method == 'in':
mx = mx.transpose()
rows... | 5,869 | 27.634146 | 122 | py |
czsl | czsl-main/models/word_embedding.py | import torch
import numpy as np
from flags import DATA_FOLDER
def load_word_embeddings(emb_type, vocab):
if emb_type == 'glove':
embeds = load_glove_embeddings(vocab)
elif emb_type == 'fasttext':
embeds = load_fasttext_embeddings(vocab)
elif emb_type == 'word2vec':
embeds = load_word... | 6,636 | 35.26776 | 90 | py |
czsl | czsl-main/models/__init__.py | 0 | 0 | 0 | py | |
czsl | czsl-main/models/modular_methods.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as tmodels
import numpy as np... | 23,151 | 34.454824 | 90 | py |
czsl | czsl-main/models/compcos.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .word_embedding import load_word_embeddings
from .common import MLP
from itertools import product
device = 'cuda' if torch.cuda.is_available() else 'cpu'
def compute_cosine_similarity(names, weights, return_dict=True):
pairing_names = list(p... | 10,133 | 36.533333 | 111 | py |
czsl | czsl-main/models/graph_method.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .common import MLP
from .gcn import GCN, GCNII
from .word_embedding import load_word_embeddings
import scipy.sparse as sp
def adj_to_edges(adj):
# Adj sparse matrix to list of edges
rows, cols = np.nonzero(adj)
edge... | 7,321 | 33.701422 | 151 | py |
czsl | czsl-main/models/image_extractor.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
from torchvision.models.resnet import ResNet, BasicBlock
class ResNet18_conv(ResNet):
def __init__(self):
super(ResNet18_conv, self).__init__(BasicBlock, [2, 2, 2, 2])
def forward(self, x):
... | 2,428 | 29.3625 | 99 | py |
czsl | czsl-main/utils/reorganize_utzap.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
"""
Reorganize the UT-Zappos dataset to resemble the MIT-States dataset
root/attr_obj/img1.jpg
root/attr_obj/img2.jpg
root... | 835 | 25.125 | 73 | py |
czsl | czsl-main/utils/config_model.py | import torch
import torch.optim as optim
from models.image_extractor import get_image_extractor
from models.visual_product import VisualProductNN
from models.manifold_methods import RedWine, LabelEmbedPlus, AttributeOperator
from models.modular_methods import GatedGeneralNN
from models.graph_method import GraphFull
fr... | 3,177 | 37.289157 | 123 | py |
czsl | czsl-main/utils/utils.py | import os
from os.path import join as ospj
import torch
import random
import copy
import shutil
import sys
import yaml
def chunks(l, n):
"""Yield successive n-sized chunks from l."""
for i in range(0, len(l), n):
yield l[i:i + n]
def get_norm_values(norm_family = 'imagenet'):
'''
Inputs
... | 1,943 | 28.454545 | 111 | py |
czsl | czsl-main/utils/download_embeddings.py | import fasttext.util
fasttext.util.download_model('en', if_exists='ignore') # English
| 88 | 21.25 | 65 | py |
czsl | czsl-main/utils/__init__.py | 0 | 0 | 0 | py | |
czsl | czsl-main/data/dataset.py | #external libs
import numpy as np
from tqdm import tqdm
from PIL import Image
import os
import random
from os.path import join as ospj
from glob import glob
#torch libs
from torch.utils.data import Dataset
import torch
import torchvision.transforms as transforms
#local libs
from utils.utils import get_norm_values, chu... | 15,653 | 34.336343 | 106 | py |
czsl | czsl-main/data/__init__.py | 0 | 0 | 0 | py | |
trimmed_match | trimmed_match-master/setup.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,... | 3,671 | 30.930435 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/__init__.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,... | 655 | 42.733333 | 78 | py |
trimmed_match | trimmed_match-master/trimmed_match/estimator.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,... | 8,227 | 35.087719 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/estimator_test.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,... | 7,143 | 37.203209 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/core/python/__init__.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,... | 656 | 40.0625 | 78 | py |
trimmed_match | trimmed_match-master/trimmed_match/example_datasets/simulation_script.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,... | 5,230 | 37.463235 | 78 | py |
trimmed_match | trimmed_match-master/trimmed_match/post_analysis/trimmed_match_post_analysis.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,... | 11,374 | 40.213768 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/post_analysis/__init__.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,... | 655 | 42.733333 | 78 | py |
trimmed_match | trimmed_match-master/trimmed_match/post_analysis/tests/trimmed_match_post_analysis_test.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,... | 19,993 | 40.224742 | 96 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/common_classes.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,... | 5,774 | 32.381503 | 79 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/matched_pairs_rmse.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,... | 12,519 | 41.730375 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/geo_level_estimators.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,... | 5,706 | 35.120253 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/plot_utilities.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,... | 10,612 | 34.976271 | 103 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/trimmed_match_design.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,... | 24,543 | 38.908943 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/util.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,... | 24,073 | 36.498442 | 83 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/geo_assignment.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,... | 11,825 | 35.726708 | 80 | py |
trimmed_match | trimmed_match-master/trimmed_match/design/__init__.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,... | 656 | 40.0625 | 78 | py |
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