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
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UniVL | UniVL-main/modules/until_config.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# 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... | 5,036 | 38.97619 | 105 | py |
UniVL | UniVL-main/dataloaders/dataloader_msrvtt_caption.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
import os
from torch.utils.data import Dataset
import numpy as np
import pickle
import pandas as pd
from collections import defaultdict
import json
import random
class M... | 10,371 | 44.095652 | 115 | py |
UniVL | UniVL-main/dataloaders/dataloader_youcook_retrieval.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
from torch.utils.data import Dataset
import pandas as pd
import os
import numpy as np
import pickle
import random
class Youcook_DataLoader(Dataset):
"""Youcook datas... | 7,820 | 40.163158 | 113 | py |
UniVL | UniVL-main/dataloaders/dataloader_youcook_caption.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
from torch.utils.data import Dataset
import pandas as pd
import os
import numpy as np
import pickle
import re
import random
import io
class Youcook_Caption_DataLoader(Da... | 9,662 | 41.756637 | 113 | py |
UniVL | UniVL-main/dataloaders/dataloader_msrvtt_retrieval.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
import os
from torch.utils.data import Dataset
import numpy as np
import pickle
import pandas as pd
from collections import defaultdict
import json
import random
class M... | 15,263 | 42.240793 | 113 | py |
UniVL | UniVL-main/dataloaders/dataloader_howto100m.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
from torch.utils.data import Dataset
import pandas as pd
import os
import numpy as np
import random
class Youtube_DataLoader(Dataset):
"""
Youtube dataset loader... | 15,835 | 41.8 | 127 | py |
nuts-ml | nuts-ml-master/setup.py | import os
import sys
import glob
import shutil
import nutsml
from setuptools import setup, find_packages, Command
from setuptools.command.test import test as TestCommand
class CleanCommand(Command):
user_options = []
def initialize_options(self):
pass
def finalize_options(self):
pass
... | 2,577 | 27.644444 | 71 | py |
nuts-ml | nuts-ml-master/sphinx/source/conf.py | # -*- coding: utf-8 -*-
#
# nutsml documentation build configuration file, created by
# sphinx-quickstart on Mon May 23 17:01:48 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# Al... | 10,445 | 31.240741 | 80 | py |
nuts-ml | nuts-ml-master/tests/__init__.py | 0 | 0 | 0 | py | |
nuts-ml | nuts-ml-master/tests/nutsml/test_checkpoint.py | """
.. module:: test_checkpoint
:synopsis: Unit tests for checkpoint module
"""
import pytest
import os
import shutil
import time
import nutsml.checkpoint as nc
from os.path import join
from nutsflow.config import Config
from nutsml.network import Network
BASEPATH = 'tests/data/checkpoints'
@pytest.fixture(scop... | 4,703 | 24.846154 | 66 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_common.py | """
.. module:: test_common
:synopsis: Unit tests for common module
"""
import pytest
import numpy as np
from six.moves import zip, range
from nutsflow import Consume, Collect, Map
from nutsflow.common import StableRandom, shapestr
from nutsml import (SplitRandom, SplitLeaveOneOut, CheckNaN, PartitionByCol,
... | 4,121 | 31.976 | 80 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_reader.py | """
.. module:: test_reader
:synopsis: Unit tests for reader module
"""
import pytest
import pandas as pd
import numpy as np
import numpy.testing as nt
from collections import namedtuple
from nutsflow import Collect, Sort
from nutsml import ReadNumpy, ReadImage, ReadLabelDirs, ReadPandas
def test_ReadLabelDirs(... | 6,107 | 37.904459 | 78 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_batcher.py | """
.. module:: test_batcher
:synopsis: Unit tests for batcher module
"""
import pytest
import numpy as np
import nutsml.batcher as nb
from pytest import approx
from nutsflow import Collect, Consume
def test_build_number_batch():
numbers = [1, 2, 3, 1]
batch = nb.build_number_batch(numbers, 'uint8')
... | 6,437 | 34.766667 | 78 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_datautil.py | """
.. module:: test_datautil
:synopsis: Unit tests for datautil module
"""
import pytest
import numpy as np
import collections as cl
import nutsml.datautil as util
from collections import namedtuple
from nutsflow.common import StableRandom
@pytest.fixture(scope="function")
def sampleset():
"""Return list w... | 2,437 | 30.662338 | 77 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_plotter.py | """
.. module:: test_plotter
:synopsis: Unit tests for plotter module
"""
from __future__ import print_function
import os
import numpy as np
import nutsml.imageutil as ni
import nutsml.plotter as pl
import numpy.testing as nt
from nutsflow import Collect
# Set to True to create test data
CREATE_DATA = False
de... | 1,111 | 24.860465 | 68 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_network.py | """
.. module:: test_network
:synopsis: Unit tests for network module
"""
import pytest
import numpy as np
from nutsflow import Collect, GetCols, Print
from nutsml.network import Network, TrainValNut, PredictNut, EvalNut
class FakeModel(object):
def __init__(self):
self.saved_weights = None
... | 5,786 | 27.367647 | 77 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_logger.py | """
.. module:: test_logger
:synopsis: Unit tests for logger module
"""
import pytest
import os
import numpy as np
from nutsflow import Collect
from nutsml import LogToFile, LogCols
@pytest.fixture(scope='function')
def filepath():
filepath = 'tests/data/temp_logger.csv'
def fin():
if os.path.ex... | 2,699 | 27.125 | 76 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_booster.py | """
.. module:: test_booster
:synopsis: Unit tests for booster module
"""
import pytest
import numpy as np
from nutsflow import Collect
from nutsflow.common import shapestr
from nutsml.network import Network, PredictNut
from nutsml import Boost, BuildBatch
def predict_all_positive(batch):
return [np.array([... | 1,940 | 25.958333 | 63 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_stratify.py | """
.. module:: test_stratify
:synopsis: Unit tests for stratify module
"""
import pytest
from nutsflow import Collect, Sort, Get, CountValues
from nutsflow.common import StableRandom
from nutsml import Stratify, CollectStratified
def test_CollectStratified():
rand = StableRandom(0)
samples = [('pos', 1... | 1,507 | 29.16 | 76 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_viewer.py | """
.. module:: test_viewer
:synopsis: Unit tests for viewer module
"""
| 75 | 14.2 | 42 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_imageutil.py | """
.. module:: test_imageutil
:synopsis: Unit tests for imageutil module
"""
from __future__ import print_function
import pytest
import sys
import os
import os.path as op
import PIL as pil
import numpy as np
import skimage as ski
import nutsml.imageutil as ni
import numpy.testing as nt
import matplotlib.patches a... | 20,658 | 32.59187 | 80 | py |
nuts-ml | nuts-ml-master/tests/nutsml/__init__.py | 0 | 0 | 0 | py | |
nuts-ml | nuts-ml-master/tests/nutsml/test_metrics.py | """
.. module:: test_metrics
:synopsis: Unit tests for metrics module
Note: In contrast to losses, which operate on batches, metricies operate on
entire collections of samples.
"""
import pytest
from pytest import approx
import nutsml.metrics as nm
def test_box_intersection():
# no overlap
assert nm.box... | 4,293 | 31.530303 | 80 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_writer.py | """
.. module:: test_writer
:synopsis: Unit tests for writer module
"""
import pytest
import os
import numpy as np
from nutsml.imageutil import load_image
from nutsflow import Collect, Get, Consume
from nutsml import ReadImage, WriteImage
def test_ImageWriter():
samples = [('nut_color', 1), ('nut_grayscale'... | 1,854 | 31.54386 | 73 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_transformer.py | """
.. module:: test_transformer
:synopsis: Unit tests for transformer module
"""
import pytest
import os
import numpy as np
import numpy.testing as nt
from nutsflow import Collect, Count
from nutsml.transformer import (map_transform, TransformImage, AugmentImage,
RegularImagePatch... | 9,729 | 34.126354 | 78 | py |
nuts-ml | nuts-ml-master/tests/nutsml/test_fileutil.py | """
.. module:: fileutil
:synopsis: Unit tests for fileutil module
"""
import os
import os.path as op
import shutil
import nutsml.fileutil as fu
import pytest
@pytest.fixture()
def init_test_folders(request):
"""Remove folder 'foo' and sub-folders at setup and teardown."""
path = op.join("data", "foo")
... | 3,439 | 29.990991 | 77 | py |
nuts-ml | nuts-ml-master/nutsml/writer.py | """
.. module:: writer
:synopsis: Writing of sample and image data
"""
from __future__ import absolute_import
import os
import skimage.io as sio
from inspect import isfunction
from nutsml.fileutil import create_folders
from nutsflow.base import NutFunction
from nutsflow.source import Enumerate
class WriteImage(N... | 3,414 | 37.806818 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/reader.py | """
.. module:: reader
:synopsis: Reading of sample data and images
"""
from __future__ import absolute_import
import os
import pandas as pd
import numpy as np
from glob import glob
from collections import namedtuple
from fnmatch import fnmatch
from nutsml.imageutil import load_image
from nutsml.fileutil import r... | 12,144 | 36.140673 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/checkpoint.py | """
.. module:: checkpoint
:synopsis: Conveniency class to create checkpoints for network training.
"""
import os
import time
from os.path import join, exists, isdir, getmtime
from nutsflow.config import Config
"""
.. module:: checkpoint
:synopsis: Creation of checkpoints with network weights and parameters.
"... | 6,996 | 34.882051 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/stratify.py | """
.. module:: stratify
:synopsis: Stratification of sample sets
"""
from __future__ import absolute_import
import random as rnd
from nutsflow import nut_processor, nut_sink, Sort
from nutsml.datautil import upsample, random_downsample
@nut_processor
def Stratify(iterable, labelcol, labeldist, rand=None):
"... | 3,795 | 37.734694 | 76 | py |
nuts-ml | nuts-ml-master/nutsml/batcher.py | """
.. module:: batcher
:synopsis: Collecting samples in mini-batches for GPU-based training.
"""
import warnings
import numpy as np
import nutsml.imageutil as ni
from nutsflow import nut_function
from nutsflow.base import Nut
from nutsflow.iterfunction import take, PrefetchIterator
def build_number_batch(numbers... | 13,350 | 34.889785 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/network.py | """
.. module:: network
:synopsis: Wrapper around other network APIs such as Lasagne, Keras and
Pytorch to enable usage within nuts-flow/ml.
For instance, with a wrapped network one can write:
samples >> build_batch >> network.train() >> log_loss >> Consume()
"""
from __futu... | 19,583 | 36.302857 | 100 | py |
nuts-ml | nuts-ml-master/nutsml/viewer.py | """
.. module:: viewer
:synopsis: Viewing of sample data
"""
from __future__ import print_function
from __future__ import absolute_import
import time
import numpy as np
import nutsml.imageutil as iu
from six.moves import range
from nutsflow import NutFunction, nut_function
from nutsflow.common import as_tuple, a... | 8,520 | 37.382883 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/fileutil.py | """
.. module:: fileutil
:synopsis: File system utilities.
"""
import glob
import os
import os.path as op
import shutil
import uuid
TEMP_FOLDER = 'temp'
def create_filename(prefix='', ext=''):
"""
Create a unique filename.
:param str prefix: Prefix to add to filename.
:param str ext: Extension t... | 3,460 | 26.91129 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/logger.py | """
.. module:: logger
:synopsis: Data logging
"""
import os
import numpy as np
from warnings import warn
from nutsflow import NutFunction
from nutsflow.common import as_tuple
class LogToFile(NutFunction):
"""
Log columns of data to file.
"""
def __init__(self, filepath, cols=None, colnames=None,... | 3,320 | 28.389381 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/datautil.py | """
.. module:: datautil
:synopsis: Utility functions for non-image data
"""
import random as rnd
import collections as cl
from six import iteritems
from nutsflow.common import as_set
def upsample(samples, labelcol, rand=None):
"""
Up-sample sample set.
Creates stratified samples by up-sampling smal... | 6,600 | 34.111702 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/transformer.py | """
.. module:: transformer
:synopsis: Data and image transformations
"""
from __future__ import print_function
import numpy as np
import os.path as path
import random as rnd
import nutsml.datautil as ut
import nutsml.imageutil as ni
from nutsflow import Nut, NutFunction, nut_processor
from nutsflow.common import ... | 24,592 | 37.366615 | 82 | py |
nuts-ml | nuts-ml-master/nutsml/booster.py | """
.. module:: booster
:synopsis: Boosting of wrongly predicted samples
"""
import random as rnd
import numpy as np
from nutsflow.common import StableRandom
from nutsflow import nut_processor, Tee, Collect, Flatten, Print
@nut_processor
def Boost(iterable, batcher, network, rand=None):
"""
iterable >> B... | 1,850 | 34.596154 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/common.py | """
.. module:: common
:synopsis: Common nuts
"""
import numpy as np
import random as rnd
from nutsflow import (nut_function, nut_sink, NutFunction,
Flatten, Collect)
from nutsflow.common import StableRandom
from nutsml.datautil import group_by, shuffle_sublists
@nut_function
def CheckNaN(d... | 9,645 | 34.20438 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/imageutil.py | """
.. module:: imageutil
:synopsis: Basic image processing utilities
"""
from __future__ import absolute_import, print_function
import numpy as np
import PIL as pil
import skimage.exposure as ske
import skimage.transform as skt
import skimage.color as skc
import skimage.util.shape as sks
import skimage.io as ski
i... | 37,685 | 33.353692 | 97 | py |
nuts-ml | nuts-ml-master/nutsml/metrics.py | """
.. module:: metrics
:synopsis: Evaluation metrics for model performance
"""
from __future__ import absolute_import
def box_intersect(box1, box2):
"""
Return intersection box two (bounding) boxes.
If the boxes don't intersect (0,0,0,0) is returned.
:param (x,y,w,h) box1: First box with x,y spe... | 6,763 | 36.787709 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/__init__.py | __version__ = '1.2.3'
# exporting all nuts-flow functions under nutsml namespace
from nutsflow import *
# exporting common nuts-ml functions under nutsml namespace
from nutsml.batcher import BuildBatch
from nutsml.booster import Boost
from nutsml.checkpoint import Checkpoint
from nutsml.stratify import Stratify, Coll... | 1,107 | 45.166667 | 75 | py |
nuts-ml | nuts-ml-master/nutsml/plotter.py | """
.. module:: plotter
:synopsis: Plotting of data, e.g. loss over epochs
"""
import time
import itertools as itt
import matplotlib.pyplot as plt
from six.moves import range
from nutsflow import NutFunction
from nutsflow.common import as_tuple, as_list
class PlotLines(NutFunction): # pragma no coverage
"""... | 5,309 | 33.934211 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/examples/__init__.py | """
Example nuts-ml pipelines
""" | 33 | 10.333333 | 25 | py |
nuts-ml | nuts-ml-master/nutsml/examples/pytorch_/__init__.py | 0 | 0 | 0 | py | |
nuts-ml | nuts-ml-master/nutsml/examples/pytorch_/mnist/cnn_train.py | """
.. module:: cnn_train
:synopsis: Example nuts-ml pipeline for training a CNN on MNIST
"""
import torch
import torch.nn.functional as F
import torch.nn as nn
import torch.optim as optim
import nutsflow as nf
import nutsml as nm
import numpy as np
from nutsml.network import PytorchNetwork
from utils import downl... | 5,025 | 30.810127 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/examples/pytorch_/mnist/utils.py | """
Utility functions for downloading the MNIST data set.
"""
import requests
import pickle
import gzip
from pathlib import Path
def download_mnist():
"""Download MNIST from web to data folder."""
folder = Path("data/mnist")
filename = "mnist.pkl.gz"
fullpath = folder / filename
url = "http://dee... | 810 | 26.033333 | 58 | py |
nuts-ml | nuts-ml-master/nutsml/examples/pytorch_/mnist/__init__.py | 0 | 0 | 0 | py | |
nuts-ml | nuts-ml-master/nutsml/examples/pytorch_/mnist/mlp_train.py | """
.. module:: cnn_train
:synopsis: Example nuts-ml pipeline for training a MLP on MNIST
"""
import torch
import torch.nn.functional as F
import torch.nn as nn
import torch.optim as optim
import nutsflow as nf
import nutsml as nm
import numpy as np
from nutsml.network import PytorchNetwork
from utils import downl... | 2,959 | 30.157895 | 76 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/__init__.py | 0 | 0 | 0 | py | |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/autoencoder/conv_autoencoder.py | """
A simple convolutional autoencoder adapted from
https://blog.keras.io/building-autoencoders-in-keras.html
"""
from nutsml import KerasNetwork
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, UpSampling2D
from tensorflow.keras.models import Model
from runner import INPUT_SHAPE
def create_network()... | 1,312 | 36.514286 | 77 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/autoencoder/runner.py | """
Runs training and prediction.
Trains an autoencoder on MNIST and in the prediction phase shows
the original image, the decoded images and the difference.
"""
from __future__ import print_function
import numpy as np
from six.moves import zip, range
from nutsflow import *
from nutsml import *
NUM_EPOCHS = 10 #... | 2,640 | 26.8 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/autoencoder/__init__.py | """
Example autoencoders using nuts.
""" | 40 | 12.666667 | 32 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/view_train_images.py | """
.. module:: view_train_images
:synopsis: Example for showing images with transformation
"""
from nutsflow import Take, Consume, GetCols
from nutsml import ViewImage, TransformImage
if __name__ == "__main__":
from mlp_train import load_samples
samples, _ = load_samples()
transform = (TransformImage... | 453 | 27.375 | 60 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/mlp_view_misclassified.py | """
.. module:: mlp_precit
:synopsis: Example nuts-ml pipeline for prediction
"""
from __future__ import print_function
from nutsflow import Consume, Zip, Unzip, Map, ArgMax, nut_filter
from nutsml import TransformImage, BuildBatch, ViewImageAnnotation
BATCH_SIZE = 128
if __name__ == "__main__":
from mlp_tra... | 1,212 | 31.783784 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/mlp_classify.py | """
.. module:: mlp_predict
:synopsis: Example nuts-ml pipeline for classification
"""
from __future__ import print_function
from nutsflow import Collect, Consume, Get, Zip, Map, Format, ArgMax
from nutsml import (TransformImage, BuildBatch, ReadImage, ReadLabelDirs,
ViewImageAnnotation)
BATCH... | 1,203 | 34.411765 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/cnn_train.py | """
.. module:: cnn_train
:synopsis: Example nuts-ml pipeline for training a CNN on MNIST
This is code is based on a Keras example (see here)
https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py
to train a Multi-layer perceptron on the MNIST data and modified to
use nuts for the data-preprocessing.
"... | 3,378 | 34.568421 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/write_images.py | """
.. module:: write_images
:synopsis: Example for writing of image data
"""
from six.moves import zip
from nutsflow import Take, Consume, Enumerate, Zip, Format, Get, Print
from nutsml import WriteImage
def load_samples():
from keras.datasets import mnist
(X_train, y_train), (X_test, y_test) = mnist.loa... | 681 | 28.652174 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/read_images.py | """
.. module:: read_images
:synopsis: Example for reading and viewing of image data
"""
from nutsflow import Consume, Print
from nutsml import ReadLabelDirs, ReadImage, ViewImageAnnotation, PrintColType
if __name__ == "__main__":
show_image = ViewImageAnnotation(0, 1, pause=1, figsize=(3, 3))
(ReadLabelD... | 421 | 29.142857 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/cnn_classify.py | """
.. module:: cnn_predict
:synopsis: Example nuts-ml pipeline for network predictions
"""
from nutsflow import Collect, Consume, Get, Zip, Map, ArgMax, Format
from nutsml import (TransformImage, BuildBatch, ReadLabelDirs, ReadImage,
ViewImageAnnotation)
BATCH_SIZE = 128
if __name__ == "__ma... | 955 | 33.142857 | 75 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/__init__.py | """
Example nuts-ml pipelines for MNIST
""" | 43 | 13.666667 | 35 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/mnist/mlp_train.py | """
.. module:: mlp_train
:synopsis: Example nuts-ml pipeline for training and evaluation
This is code is based on a Keras example (see here)
https://github.com/fchollet/keras/blob/master/examples/mnist_mlp.py
to train a Multi-layer perceptron on the MNIST data and modified to
use nuts for the data-preprocessing.
"... | 2,820 | 31.056818 | 73 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/view_train_images.py | """
.. module:: view_train_images
:synopsis: Example nuts-ml pipeline reading and viewing image data
"""
from nutsflow import Take, Consume, MapCol
from nutsml import ViewImageAnnotation, PrintColType, ConvertLabel
if __name__ == "__main__":
from cnn_train import load_samples, load_names
train_samples, _ ... | 619 | 30 | 69 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/cnn_train.py | """
.. module:: mlp_view_misclassified
:synopsis: Example for showing misclassified examples
"""
from __future__ import print_function
import pickle
import os.path as osp
from six.moves import zip, map, range
from nutsflow import PrintProgress, Zip, Unzip, Pick, Shuffle, Mean
from nutsml import (KerasNetwork, Tr... | 4,395 | 33.614173 | 76 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/write_images.py | """
.. module:: write_images
:synopsis: Example nuts-ml pipeline for writing of images
"""
from nutsflow import (Take, Print, Consume, Enumerate, Zip, Format, MapCol,
Get)
from nutsml import WriteImage, ConvertLabel
if __name__ == "__main__":
from cnn_train import load_samples, load_name... | 648 | 29.904762 | 78 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/read_images.py | """
.. module:: read_images
:synopsis: Example nuts-ml pipeline for reading and viewing image data
"""
from glob import glob
from nutsflow import Consume
from nutsml import ReadImage, ViewImage, PrintColType
if __name__ == "__main__":
show_image = ViewImage(0, pause=1, figsize=(2, 2), interpolation='spline36')... | 429 | 27.666667 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/cnn_classify.py | """
.. module:: cnn_predict
:synopsis: Example pipeline for viewing annotations and classification
"""
from __future__ import print_function
from glob import glob
from nutsflow import Collect, Consume, Get, Zip, Map, ArgMax, Print
from nutsml import (TransformImage, BuildBatch, ReadImage, ViewImageAnnotation,
... | 1,151 | 32.882353 | 79 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/view_data.py | """
.. module:: view_data
:synopsis: Example nuts-ml pipeline viewing CIFAR-10 image data
"""
from nutsflow import Take, Consume
from nutsml import ViewImage
if __name__ == "__main__":
from cnn_train import load_samples
train_samples, test_samples = load_samples()
samples = train_samples + test_sample... | 455 | 25.823529 | 80 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/__init__.py | """
Example nuts-ml pipelines for CIFAR-10
""" | 46 | 14.666667 | 38 | py |
nuts-ml | nuts-ml-master/nutsml/examples/keras_/cifar/view_augmented_images.py | """
.. module:: view_augmented_images
:synopsis: Example nuts-ml pipeline for viewing augmented image data
"""
from nutsflow import Take, Consume
from nutsml import ViewImageAnnotation, AugmentImage
if __name__ == "__main__":
from cnn_train import load_samples
train_samples, _ = load_samples()
p = 0.... | 793 | 29.538462 | 71 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/invariant_l0_attack.py | import tensorflow as tf
import random
import time
import numpy as np
from keras.datasets import mnist
import sys
import os
import itertools
import sklearn.cluster
import scipy.misc
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Activation
from keras.layers import Con... | 14,333 | 36.03876 | 152 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/acgan_mnist.py | import os, sys
sys.path.append(os.getcwd())
import time
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import sklearn.datasets
import tensorflow as tf
import tflib as lib
import tflib.ops.linear
import tflib.ops.conv2d
import tflib.ops.batchnorm
import tflib.ops.deconv2d
i... | 7,752 | 33.154185 | 97 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/small_imagenet.py | import numpy as np
import scipy.misc
import time
def make_generator(path, n_files, batch_size):
epoch_count = [1]
def get_epoch():
images = np.zeros((batch_size, 3, 64, 64), dtype='int32')
files = list(range(n_files))
random_state = np.random.RandomState(epoch_count[0])
random_s... | 1,159 | 34.151515 | 98 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/save_images.py | """
Image grid saver, based on color_grid_vis from github.com/Newmu
"""
import numpy as np
import scipy.misc
from scipy.misc import imsave
def save_images(X, save_path):
# [0, 1] -> [0,255]
if isinstance(X.flatten()[0], np.floating):
X = (255.99*X).astype('uint8')
n_samples = X.shape[0]
rows ... | 914 | 22.461538 | 91 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/inception_score.py | # From https://github.com/openai/improved-gan/blob/master/inception_score/model.py
# Code derived from tensorflow/tensorflow/models/image/imagenet/classify_image.py
import os.path
import sys
import tarfile
import numpy as np
from six.moves import urllib
import tensorflow as tf
import glob
import scipy.misc
import ... | 3,375 | 33.44898 | 90 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/cifar10.py | import numpy as np
import os
import urllib.request, urllib.parse, urllib.error
import gzip
import pickle as pickle
def unpickle(file):
fo = open(file, 'rb')
dict = pickle.load(fo, encoding='latin1')
fo.close()
return dict['data'], dict['labels']
def cifar_generator(filenames, batch_size, data_dir):
... | 1,197 | 27.52381 | 125 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/plot.py | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import collections
import time
import pickle as pickle
_since_beginning = collections.defaultdict(lambda: {})
_since_last_flush = collections.defaultdict(lambda: {})
_iter = [0]
def tick():
_iter[0] += 1
def plot(name, valu... | 982 | 22.97561 | 68 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/__init__.py | import numpy as np
import tensorflow as tf
import locale
locale.setlocale(locale.LC_ALL, '')
_params = {}
_param_aliases = {}
def param(name, *args, **kwargs):
"""
A wrapper for `tf.Variable` which enables parameter sharing in models.
Creates and returns theano shared variables similarly to `tf.Vari... | 3,755 | 31.947368 | 125 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/mnist.py | import numpy
import os
import urllib.request, urllib.parse, urllib.error
import gzip
import pickle as pickle
def mnist_generator(data, batch_size, n_labelled, limit=None):
images, targets = data
rng_state = numpy.random.get_state()
numpy.random.shuffle(images)
numpy.random.set_state(rng_state)
nu... | 2,180 | 32.553846 | 105 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/conv2d.py | import tflib as lib
import numpy as np
import tensorflow as tf
_default_weightnorm = False
def enable_default_weightnorm():
global _default_weightnorm
_default_weightnorm = True
_weights_stdev = None
def set_weights_stdev(weights_stdev):
global _weights_stdev
_weights_stdev = weights_stdev
def unset... | 3,860 | 30.137097 | 140 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/cond_batchnorm.py | import tflib as lib
import numpy as np
import tensorflow as tf
def Batchnorm(name, axes, inputs, is_training=None, stats_iter=None, update_moving_stats=True, fused=True, labels=None, n_labels=None):
"""conditional batchnorm (dumoulin et al 2016) for BCHW conv filtermaps"""
if axes != [0,2,3]:
raise Ex... | 870 | 50.235294 | 135 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/batchnorm.py | import tflib as lib
import numpy as np
import tensorflow as tf
def Batchnorm(name, axes, inputs, is_training=None, stats_iter=None, update_moving_stats=True, fused=True):
if ((axes == [0,2,3]) or (axes == [0,2])) and fused==True:
if axes==[0,2]:
inputs = tf.expand_dims(inputs, 3)
# Old... | 4,374 | 48.715909 | 169 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/deconv2d.py | import tflib as lib
import numpy as np
import tensorflow as tf
_default_weightnorm = False
def enable_default_weightnorm():
global _default_weightnorm
_default_weightnorm = True
_weights_stdev = None
def set_weights_stdev(weights_stdev):
global _weights_stdev
_weights_stdev = weights_stdev
def unset... | 3,276 | 27.25 | 101 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/layernorm.py | import tflib as lib
import numpy as np
import tensorflow as tf
def Layernorm(name, norm_axes, inputs):
mean, var = tf.nn.moments(inputs, norm_axes, keep_dims=True)
# Assume the 'neurons' axis is the first of norm_axes. This is the case for fully-connected and BCHW conv layers.
n_neurons = inputs.get_shap... | 821 | 38.142857 | 117 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/conv1d.py | import tflib as lib
import numpy as np
import tensorflow as tf
_default_weightnorm = False
def enable_default_weightnorm():
global _default_weightnorm
_default_weightnorm = True
def Conv1D(name, input_dim, output_dim, filter_size, inputs, he_init=True, mask_type=None, stride=1, weightnorm=None, biases=True, ... | 3,401 | 30.211009 | 140 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/linear.py | import tflib as lib
import numpy as np
import tensorflow as tf
_default_weightnorm = False
def enable_default_weightnorm():
global _default_weightnorm
_default_weightnorm = True
def disable_default_weightnorm():
global _default_weightnorm
_default_weightnorm = False
_weights_stdev = None
def set_wei... | 4,548 | 29.736486 | 98 | py |
Excessive-Invariance | Excessive-Invariance-master/l0/gan/tflib/ops/__init__.py | 0 | 0 | 0 | py | |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/significance.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : compute significance
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Compute Stream Signi... | 3,599 | 22.225806 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/projection.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : projection
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Projection.
Routine Listings
... | 7,816 | 22.264881 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/plot.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : plotfuncs
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""plot functions.
Routine Listin... | 16,398 | 24.385449 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : src initialization
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""AST1501.
Routine List... | 2,834 | 23.652174 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/_loadorbits.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : loadorbits
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""load orbits.
Routine Listings... | 19,689 | 26.347222 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/gsel.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : g selection
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""g selec... | 1,663 | 20.333333 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/cmd.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : initializing selection functions
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring an... | 4,434 | 26.042683 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/pm.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : initializing selection functions
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Proper m... | 3,195 | 24.98374 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/select.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : select
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Selection Functions.
Routine List... | 8,358 | 23.730769 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : initializing selection functions
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""selectio... | 758 | 25.172414 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/select/combined.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE :
# AUTHOR : Nathaniel Starkman
# PROJECT :
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""combine selections."""
__a... | 5,018 | 24.348485 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/mwdust_util.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : mwdust_util
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""utilities for mwdust.
TODO u... | 5,230 | 21.450644 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/pickle.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : pickle
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""pickle."""
__author__ = "Nathanie... | 1,526 | 21.130435 | 78 | py |
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