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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two-stage-ser | two-stage-ser-master/code/improv_loso/ser_mspin_loso_hsf.py | # Speech emotion recognition on MSP-IMPROV dataset
# feature: egemaps
# Algorithm: as described in Bagus TA et al., "RNN-based dimenisional SER",
# ASJ Autumn 2019.
# 2019-12-24: Modified from ser_improv_egamaps, change input to HFS
# Filter only natural interaction and improvisat... | 4,907 | 37.046512 | 123 | py |
two-stage-ser | two-stage-ser-master/code/improv_loso/ter_mspin_loso_glove.py | # CSL Paper: Dimensional speech emotion recognition from acoustic and text
# Changelog:
# 2019-09-01: initial version
# 2019-10-06: optimizer MTL parameters with linear search (in progress)
# 2019-12-21: update file for CSL journal
# this python use following feature: mean, std, silence
import numpy as np
... | 3,880 | 30.552846 | 123 | py |
dpgan | dpgan-master/wgan.py | import os
import time
import argparse
import importlib
import tensorflow as tf
import tensorflow.contrib as tc
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import cPickle as pickle
from numpy import linalg, argmin, array, arange
import matplotlib.gridspec as gridspec
from utilize import norml... | 10,596 | 50.193237 | 230 | py |
dpgan | dpgan-master/wgan_v2.py | import os
import time
import argparse
import importlib
import tensorflow as tf
from scipy.misc import imsave
from visualize import *
class WassersteinGAN(object):
def __init__(self, g_net, d_net, x_sampler, z_sampler, data, model, scale=10.0):
self.model = model
self.data = data
self.g_ne... | 4,204 | 37.577982 | 91 | py |
dpgan | dpgan-master/test.py | import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from matplotlib import gridspec
import matplotlib.mlab as mlab
from pylab import *
import cPickle as pickle
from numpy import load, sqrt, log10, pi, concatenate, where, unique, ceil, dot, reshape, random, float64, e... | 24,281 | 35.569277 | 257 | py |
dpgan | dpgan-master/wgan_EHR.py | import os
import time
import argparse
import importlib
import tensorflow as tf
import matplotlib
matplotlib.use('Agg')
import matplotlib as plt
import cPickle as pickle
from numpy import arange, random, ceil, mean, array, count_nonzero, zeros, eye
from utilize import data_readf, c2b, c2bcolwise, splitbycol, gene_check,... | 19,605 | 52.862637 | 203 | py |
dpgan | dpgan-master/layers.py | import tensorflow as tf
import tensorflow.contrib.layers as tcl
def leaky_relu(x, alpha=0.2):
return tf.maximum(tf.minimum(0.0, alpha * x), x)
def leaky_relu_batch_norm(x, alpha=0.2):
return leaky_relu(tcl.batch_norm(x), alpha)
def relu_batch_norm(x):
return tf.nn.relu(tcl.batch_norm(x))
| 307 | 19.533333 | 52 | py |
dpgan | dpgan-master/autoencoder.py | # test pre-train of autoencoder
# the norm_gradient_variables converge, see "./testf/norm_gradient_variables.jpg (norm_gradient_variables for autoencoder (no bias).jpg)"
# for autoencoder.py
from __future__ import division, print_function, absolute_import
import tensorflow as tf
from numpy import linalg, arange, resh... | 4,112 | 36.733945 | 137 | py |
dpgan | dpgan-master/Gradient_manipulation_.py | # Create an optimizer.
opt = GradientDescentOptimizer(learning_rate=0.1)
# Compute the gradients for a list of variables.
grads_and_vars = opt.compute_gradients(loss, <list of variables>)
# grads_and_vars is a list of tuples (gradient, variable). Do whatever you
# need to the 'gradient' part, for example cap them, e... | 494 | 40.25 | 75 | py |
dpgan | dpgan-master/wgan_face.py | import os
import time
import argparse
import importlib
import tensorflow as tf
import tensorflow.contrib as tc
import matplotlib
matplotlib.use('Agg')
import cPickle as pickle
from numpy import linalg, argmin, array, arange
import matplotlib.gridspec as gridspec
from utilize import loaddata_face
import logging # these ... | 11,981 | 47.314516 | 204 | py |
dpgan | dpgan-master/utilize.py | import matplotlib
matplotlib.use('agg')
from pylab import *
from sklearn.preprocessing import binarize
from sklearn.metrics import precision_score, recall_score, accuracy_score, f1_score, roc_auc_score
from sklearn import linear_model
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
impo... | 29,864 | 45.374224 | 318 | py |
dpgan | dpgan-master/debug.py | # This file is to debug the curve in DPGAN paper, experiment 2, convergence of wdis
from __future__ import print_function
import tensorflow as tf
from numpy import random, sign, array
import matplotlib.pyplot as plt
from regression_class import generate_rnd_data
rng = random
def noise(tensor):
'''add noise to t... | 7,593 | 34.820755 | 164 | py |
dpgan | dpgan-master/visualize.py | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def split(x):
assert type(x) == int
t = int(np.floor(np.sqrt(x)))
for a in range(t, 0, -1):
if x % a == 0:
return a, x / a
def grid_transform(x, size):
# a, b = split(x.shape[0])
a, b ... | 769 | 21 | 42 | py |
dpgan | dpgan-master/regression_class.py | # CSE 491 Introduction to Machine Learning
# Python Demo for Linear Regression.
#
# By Jiayu Zhou, Oct 11, 2016
# This is a test for the DPGAN code. It shows how noise and clip affect convergence
import time
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
def rand_split_train_test(data, labe... | 9,631 | 36.772549 | 156 | py |
dpgan | dpgan-master/medWGAN.py | import sys, time, argparse
import tensorflow as tf
import numpy as np
from sklearn.metrics import precision_score, recall_score, accuracy_score, f1_score, roc_auc_score
from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score, f1_score
from tensorflow.contrib.layers import l2_regul... | 38,973 | 49.289032 | 293 | py |
dpgan | dpgan-master/wgan_facetest.py | import os
import time
import argparse
import importlib
import tensorflow as tf
import tensorflow.contrib as tc
import matplotlib
matplotlib.use('Agg')
import cPickle as pickle
from numpy import linalg, argmin, array, arange, squeeze
import matplotlib.gridspec as gridspec
from utilize import loaddata_face, loaddata_face... | 12,417 | 49.275304 | 205 | py |
dpgan | dpgan-master/DCGAN-tensorflow-master/main.py | import os
import scipy.misc
import numpy as np
from model import DCGAN
from utils import pp, visualize, to_json, show_all_variables
import tensorflow as tf
flags = tf.app.flags
flags.DEFINE_integer("epoch", 5000, "Epoch to train [25]")
flags.DEFINE_float("learning_rate", 0.0002, "Learning rate of for adam [0.0002]")... | 3,976 | 39.581633 | 138 | py |
dpgan | dpgan-master/DCGAN-tensorflow-master/download.py | """
Modification of https://github.com/stanfordnlp/treelstm/blob/master/scripts/download.py
Downloads the following:
- Celeb-A dataset
- LSUN dataset
- MNIST dataset
"""
from __future__ import print_function
import os
import sys
import gzip
import json
import shutil
import zipfile
import argparse
import requests
impo... | 5,393 | 28.801105 | 102 | py |
dpgan | dpgan-master/DCGAN-tensorflow-master/utils.py | """
Some codes from https://github.com/Newmu/dcgan_code
"""
from __future__ import division
import math
import json
import random
import pprint
import scipy.misc
import numpy as np
from time import gmtime, strftime
from six.moves import xrange
import tensorflow as tf
import tensorflow.contrib.slim as slim
pp = pprint... | 8,647 | 33.454183 | 126 | py |
dpgan | dpgan-master/DCGAN-tensorflow-master/model.py | # DP or not: 154, 242, 278, 557; clip: 248; main.py: 11, 16, 20; c_dim: 25, path: 82, 215, download.py: 176
from __future__ import division
import os
import time
import math
from glob import glob
import tensorflow as tfh
import numpy as np
from six.moves import xrange
import matplotlib.pyplot as plt
plt.switch_backend... | 22,108 | 38.480357 | 129 | py |
dpgan | dpgan-master/DCGAN-tensorflow-master/ops.py | import math
import numpy as np
import tensorflow as tf
from tensorflow.python.framework import ops
from utils import *
try:
image_summary = tf.image_summary
scalar_summary = tf.scalar_summary
histogram_summary = tf.histogram_summary
merge_summary = tf.merge_summary
SummaryWriter = tf.train.SummaryWriter
e... | 3,656 | 33.828571 | 100 | py |
dpgan | dpgan-master/face_test/mlp.py | import tensorflow as tf
import tensorflow.contrib as tc
import tensorflow.contrib.layers as tcl
def leaky_relu(x, alpha=0.1):
return tf.maximum(tf.minimum(0.0, alpha * x), x) # this is equivalent to: x \leq 0: \alpha x, x > 0: x, here \alpha \leq 1
class Discriminator(object):
def __init__(self):
sel... | 3,759 | 40.777778 | 144 | py |
dpgan | dpgan-master/face_test/dcgan.py | import tensorflow as tf
import tensorflow.contrib as tc
import tensorflow.contrib.layers as tcl
def leaky_relu(x, alpha=0.2):
return tf.maximum(tf.minimum(0.0, alpha * x), x)
class Discriminator(object):
def __init__(self):
self.x_dim = [64, 64, 1]
self.name = 'face_test/dcgan/d_net'
de... | 3,910 | 40.606383 | 151 | py |
dpgan | dpgan-master/face_test/__init__.py | import numpy as np
from utilize import loaddata_face
path = "/home/xieliyan/Dropbox/GPU/Data/face_test/LFW/lfw_aligned_cropped_64641/"
class DataSampler(object):
def __init__(self):
self.shape = [64, 64, 1]
def __call__(self, batch_size):
return loaddata_face(path, batch_size) # no longer ... | 643 | 25.833333 | 87 | py |
dpgan | dpgan-master/testf/fc.py | import tensorflow as tf
import tensorflow.contrib as tc
import tensorflow.contrib.layers as tcl
from tensorflow.contrib.layers import batch_norm
import matplotlib
def leaky_relu(x, alpha=0.1):
return tf.maximum(tf.minimum(0.0, alpha * x), x) # this is equivalent to: x \leq 0: \alpha x, x > 0: x, here \alpha \leq 1... | 6,880 | 48.503597 | 146 | py |
dpgan | dpgan-master/testf/__init__.py | 0 | 0 | 0 | py | |
dpgan | dpgan-master/MIMIC-III/fc.py | import tensorflow as tf
import tensorflow.contrib.layers as tcl
from tensorflow.contrib.layers import batch_norm
class Autoencoder(object):
def __init__(self, inputDim, l2scale, compressDims, aeActivation, decompressDims, dataType):
self.x_dim = inputDim
self.l2scale = l2scale
self.compres... | 8,181 | 49.819876 | 194 | py |
dpgan | dpgan-master/MIMIC-III/__init__.py | from numpy import random, clip
from utilize import *
class NoiseSampler(object):
def __call__(self, batch_size, z_dim):
return random.normal(size=(batch_size, z_dim))
# the shape of return is: batch_size*z_dim
# see Medgan line 209, use np.random.normal(), which has defauld std = 1.0 | 314 | 34 | 82 | py |
dpgan | dpgan-master/mnist/mlp.py | import tensorflow as tf
import tensorflow.contrib as tc
import tensorflow.contrib.layers as tcl
def leaky_relu(x, alpha=0.1):
return tf.maximum(tf.minimum(0.0, alpha * x), x) # this is equivalent to: x \leq 0: \alpha x, x > 0: x, here \alpha \leq 1
class Discriminator(object):
def __init__(self):
sel... | 3,759 | 40.777778 | 144 | py |
dpgan | dpgan-master/mnist/dcgan.py | import tensorflow as tf
import tensorflow.contrib as tc
import tensorflow.contrib.layers as tcl
def leaky_relu(x, alpha=0.2):
return tf.maximum(tf.minimum(0.0, alpha * x), x)
class Discriminator(object):
def __init__(self):
self.x_dim = 784
self.name = 'mnist/dcgan/d_net'
def __call__(s... | 3,763 | 39.042553 | 105 | py |
dpgan | dpgan-master/mnist/__init__.py | import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('./mnist/MNIST')
class DataSampler(object):
def __init__(self):
self.shape = [28, 28, 1]
def __call__(self, batch_size): # __call__ method is executed when the instance is called
re... | 910 | 38.608696 | 138 | py |
dpgan | dpgan-master/medGAN/medgan.py | import sys, time, argparse
import tensorflow as tf
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score, f1_score
from tensorflow.contrib.layers import l2_regularizer
from tensorflow.contrib.layers import batch_norm
import matplotlib
matplotlib.use('Agg')
imp... | 25,265 | 51.202479 | 293 | py |
dpgan | dpgan-master/medGAN/medWGAN.py | import sys, time, argparse
import tensorflow as tf
import numpy as np
from sklearn.metrics import precision_score, recall_score, accuracy_score, f1_score, roc_auc_score
from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score, f1_score
from tensorflow.contrib.layers import l2_regul... | 35,930 | 50.773775 | 295 | py |
PhysicsNAS | PhysicsNAS-master/collision/operations_retrain.py | import torch
import torch.nn as nn
# Basic operations
class Identity(nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
class FCReLU(nn.Module):
def __init__(self, in_dim, out_dim):
super(FCReLU, self).__init__()
self.operat... | 2,111 | 26.428571 | 77 | py |
PhysicsNAS | PhysicsNAS-master/collision/utils.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class PhysicalRegularization(nn.Module):
def __init__(self, use_reg=True):
super(PhysicalRegularization, self).__init__()
self.mse_loss = nn.MSELoss()
self.use_reg = use_reg
def physical_regularization(self, y_h... | 1,001 | 31.322581 | 95 | py |
PhysicsNAS | PhysicsNAS-master/collision/dataset.py | import os
import scipy.io as sio
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
class CollisionDataset(Dataset):
def __init__(self, file_dir, sample_num=None):
self.file_dir = file_dir
self.file_name_list = os.listdir(self.file_dir)
# Sort the tria... | 1,399 | 29.434783 | 105 | py |
PhysicsNAS | PhysicsNAS-master/collision/plot.py | import graphviz
from graphviz import Digraph
def plot_genotype(genotype, file_name=None, figure_dir='./network_structure', save_figure=False):
# Set graph style
g = Digraph(
format='pdf',
edge_attr=dict(fontsize='20', fontname="times"),
node_attr=dict(style='rounded,filled', shape=... | 1,630 | 29.203704 | 117 | py |
PhysicsNAS | PhysicsNAS-master/collision/operations.py | import torch
import torch.nn as nn
# Basic operations
class Identity(nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
class FCReLU(nn.Module):
def __init__(self, in_dim, out_dim):
super(FCReLU, self).__init__()
self.operat... | 2,225 | 27.177215 | 77 | py |
PhysicsNAS | PhysicsNAS-master/tossing/operations_retrain.py | import torch
import torch.nn as nn
class Identity(nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
class FCReLU(nn.Module):
def __init__(self, in_dim, out_dim):
super(FCReLU, self).__init__()
self.operation = nn.Sequential... | 2,719 | 29.909091 | 109 | py |
PhysicsNAS | PhysicsNAS-master/tossing/utils.py | import torch
import torch.nn as nn
import torch.nn.functional as F
def get_mean_distance(locs_a, locs_b):
vector_len = locs_a.shape[1]
x_a = locs_a[:, :vector_len // 2]
y_a = locs_a[:, vector_len // 2:]
x_b = locs_b[:, :vector_len // 2]
y_b = locs_b[:, vector_len // 2:]
dif_x = (x_a - x_b)... | 1,589 | 30.176471 | 122 | py |
PhysicsNAS | PhysicsNAS-master/tossing/dataset.py | import os
import scipy.io as sio
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
class TossingDataset(Dataset):
def __init__(self, file_dir, in_traj_num=3, pre_traj_num=15, fps=30.0, sample_num=None):
self.file_dir = file_dir
self.in_traj_num = in_traj_num
s... | 3,525 | 39.068182 | 105 | py |
PhysicsNAS | PhysicsNAS-master/tossing/plot.py | import graphviz
from graphviz import Digraph
def plot_genotype(genotype, file_name=None, figure_dir='./network_structure', save_figure=False):
# Set graph style
g = Digraph(
format='pdf',
edge_attr=dict(fontsize='20', fontname="times"),
node_attr=dict(style='rounded,filled', shape=... | 1,630 | 29.203704 | 117 | py |
PhysicsNAS | PhysicsNAS-master/tossing/operations.py | import torch
import torch.nn as nn
class Identity(nn.Module):
def __init__(self):
super(Identity, self).__init__()
def forward(self, x):
return x
class FCReLU(nn.Module):
def __init__(self, in_dim, out_dim):
super(FCReLU, self).__init__()
self.operation = nn.Sequential... | 2,833 | 30.488889 | 109 | py |
MedCATtrainer | MedCATtrainer-master/webapp/load_examples.py | import os
import pandas as pd
import requests
from time import sleep
import json
def main(port=8000,
umls_cdb_tmp_file='/home/cdb.dat',
snomed_cdb_tmp_file='/home/snomed-cdb.dat',
vocab_tmp_file='/home/vocab.dat',
dataset_tmp_file='/home/ds.csv',
initial_wait=15):
va... | 6,117 | 46.426357 | 158 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/manage.py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportErr... | 624 | 27.409091 | 73 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/core/settings.py | """
Django settings for MedCATtrainer project.
Generated by 'django-admin startproject' using Django 2.2.3.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import ... | 5,144 | 25.937173 | 109 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/core/wsgi.py | """
WSGI config for MedCATTrainer project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO... | 394 | 22.235294 | 78 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/core/__init__.py | 0 | 0 | 0 | py | |
MedCATtrainer | MedCATtrainer-master/webapp/api/core/urls.py | """MedCATtrainer URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | 3,281 | 47.985075 | 91 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/serializers.py | import json
from django.contrib.auth.models import User
from rest_framework.fields import FileField
from rest_framework.serializers import Serializer
from .models import *
from rest_framework import serializers
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
... | 2,693 | 24.415094 | 125 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/tests.py | from django.test import TestCase
# Create your tests here.
| 60 | 14.25 | 32 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/views.py | import logging
import pickle
import traceback
from tempfile import NamedTemporaryFile
from django.http import HttpResponseBadRequest, HttpResponseServerError
from django.shortcuts import render
from django_filters import rest_framework as drf
from medcat.utils.helpers import tkns_from_doc
from rest_framework import vi... | 23,236 | 34.207576 | 117 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/permissions.py | from rest_framework import permissions
class IsReadOnly(permissions.BasePermission):
"""
Object-level permission to only allow read-only operations.
"""
def has_permission(self, request, view):
# Read permissions are allowed to any request,
# so we'll always allow GET, HEAD or OPTIONS ... | 388 | 31.416667 | 63 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/utils.py | import json
import logging
import os
from typing import Union, Dict, List, Type
import pkg_resources
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
from medcat.cat import CAT
from medcat.cdb import CDB
from medcat.utils.filters import che... | 12,999 | 36.463977 | 116 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/data_utils.py | import json
import logging
import re
from collections import defaultdict
from datetime import datetime
from typing import Dict
from django.contrib.auth.models import User
from django.db.models import Q
from core.settings import MEDIA_ROOT
from .models import *
from .utils import env_str_to_bool
_MAX_DATASET_SIZE_DEF... | 8,533 | 42.764103 | 121 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/solr_utils.py | import json
import logging
import re
from typing import List, Dict
import requests
from django.http import HttpResponseServerError
from medcat.cdb import CDB
from rest_framework.response import Response
from api.models import ConceptDB
from core.settings import SOLR_HOST, SOLR_PORT
SOLR_INDEX_SCHEMA = {}
logger = l... | 10,233 | 42.922747 | 125 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/admin.py | import copy
import logging
from datetime import datetime
from io import StringIO
from typing import Dict, List
from background_task import background
from django.contrib import admin
from django.db.models import QuerySet
from django.http import HttpResponse, HttpResponseRedirect
from rest_framework.exceptions import P... | 19,964 | 40.507277 | 141 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/models.py | import os
import pandas as pd
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.validators import RegexValidator
from django.db import models
from django.dispatch import receiver
from django.forms import forms, ModelForm
from polymorphic.models import PolymorphicModel... | 13,804 | 42.41195 | 188 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/metrics.py | import logging
import math
import warnings
from collections import Counter
from typing import List, Dict
import numpy as np
import pandas as pd
import torch
from medcat.cat import CAT
from medcat.config_meta_cat import ConfigMetaCAT
from medcat.meta_cat import MetaCAT
from medcat.tokenizers.meta_cat_tokenizers import ... | 16,169 | 48.907407 | 158 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/apps.py | from django.apps import AppConfig
class AnnoappConfig(AppConfig):
name = 'annoapp'
| 89 | 14 | 33 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/__init__.py | 0 | 0 | 0 | py | |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/urls.py | from django.contrib import admin
from django.urls import path
from .views import *
urlpatterns = []
| 101 | 16 | 32 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/forms.py | import json
import os
from django.db.models.fields.files import FileField
from django.db.models.signals import post_save, post_delete, pre_save
from django.dispatch import receiver
from api.data_utils import dataset_from_file, delete_orphan_docs, upload_projects_export
from api.models import Dataset, ExportedProject
... | 1,270 | 31.589744 | 88 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0005_annotatedentity_alternative.py | # Generated by Django 2.2.3 on 2019-09-26 16:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0004_auto_20190925_1450'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='alternat... | 397 | 19.947368 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0022_metatask_default.py | # Generated by Django 2.2.9 on 2020-01-24 16:53
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0021_auto_20200124_1108'),
]
operations = [
migrations.AddField(
model_name='metatask',
... | 529 | 25.5 | 163 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0068_auto_20230203_1715.py | # Generated by Django 2.2.28 on 2023-02-03 17:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0067_delete_concept'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
name='r... | 728 | 37.368421 | 365 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0051_auto_20210211_1812.py | # Generated by Django 2.2.18 on 2021-02-11 18:12
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0050_remove_project_tuis'),
]
operations = [
migrations.AlterField(
model_name='concept... | 489 | 23.5 | 124 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0054_remove_concept_vocab.py | # Generated by Django 2.2.18 on 2021-03-12 10:48
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0053_remove_projectannotateentities_clinical_coding_project'),
]
operations = [
migrations.RemoveField(
model_name='concept',
... | 361 | 19.111111 | 79 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0026_auto_20200204_1517.py | # Generated by Django 2.2.3 on 2020-02-04 15:17
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0025_auto_20200131_2353'),
]
operations = [
migrations.AlterField(
model_name='metatask'... | 497 | 23.9 | 129 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0060_auto_20211022_0940.py | # Generated by Django 2.2.24 on 2021-10-22 09:40
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0059_auto_20211008_2038'),
]
operations = [
migrations.RenameField(
model_name='concept',
old_name='tui',
... | 360 | 18 | 48 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0018_annotatedentity_killed.py | # Generated by Django 2.2.3 on 2019-10-11 16:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0017_delete_link'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='killed',
... | 385 | 19.315789 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0045_auto_20200603_0934.py | # Generated by Django 2.2.12 on 2020-06-03 09:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0044_projectannotateentities_terminate_available'),
]
operations = [
migrations.AlterField(
model_name='projectannotatee... | 494 | 25.052632 | 106 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0008_annotatedentity_manually_created.py | # Generated by Django 2.2.3 on 2019-09-28 01:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0007_concept_cdb'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='manually_create... | 395 | 19.842105 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0009_document_last_modified.py | # Generated by Django 2.2.3 on 2019-09-29 00:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0008_annotatedentity_manually_created'),
]
operations = [
migrations.AddField(
model_name='document',
name='l... | 407 | 20.473684 | 57 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0042_auto_20200520_0945.py | # Generated by Django 2.2.12 on 2020-05-20 09:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0041_auto_20200519_1544'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
nam... | 1,599 | 40.025641 | 182 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0052_auto_20210216_1130.py | # Generated by Django 2.2.18 on 2021-02-16 11:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0051_auto_20210211_1812'),
]
operations = [
migrations.AlterField(
model_name='project',
name='cuis_file',
... | 510 | 25.894737 | 173 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0004_auto_20190925_1450.py | # Generated by Django 2.2.5 on 2019-09-25 14:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20190924_1934'),
]
operations = [
migrations.AlterField(
model_name='project',
name='validated_docu... | 432 | 21.789474 | 86 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0064_auto_20220606_1253.py | # Generated by Django 2.2.24 on 2022-06-06 12:53
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0063_auto_20220606_1107'),
]
operations = [
migrations.AlterField(
model_name='projecta... | 500 | 24.05 | 113 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0010_annotatedentity_last_modified.py | # Generated by Django 2.2.3 on 2019-09-29 00:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0009_document_last_modified'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='last... | 404 | 20.315789 | 54 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0059_auto_20211008_2038.py | # Generated by Django 2.2.9 on 2021-10-08 20:38
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0058_auto_20210921_0022'),
]
operations = [
migrations.AlterModelOptions(
name='annotatedentity',
options={'ordering'... | 714 | 22.833333 | 47 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0030_auto_20200208_1858.py | # Generated by Django 2.2.9 on 2020-02-08 18:58
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0029_auto_20200208_1609'),
]
operations = [
migrations.RemoveField(
model_name='annotate... | 963 | 28.212121 | 124 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0058_auto_20210921_0022.py | # Generated by Django 2.2.9 on 2021-09-21 00:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0057_auto_20210705_0954'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='comment'... | 674 | 27.125 | 131 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0019_annotatedentity_correct.py | # Generated by Django 2.2.7 on 2019-11-24 01:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0018_annotatedentity_killed'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
name='corr... | 397 | 19.947368 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0032_auto_20200212_0017.py | # Generated by Django 2.2.9 on 2020-02-12 00:17
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0031_annotatedentity_create_time'),
]
operations = [
migrations.AlterField(
model_name='annotatedentity',... | 469 | 22.5 | 98 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0033_auto_20200212_0021.py | # Generated by Django 2.2.9 on 2020-02-12 00:21
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0032_auto_20200212_0017'),
]
operations = [
migrations.AlterField(
model_name='annotatedentity',
... | 446 | 21.35 | 84 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0062_auto_20220426_1558.py | # Generated by Django 2.2.24 on 2022-04-26 15:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0061_project_annotation_guideline_link'),
]
operations = [
migrations.AlterField(
model_name='concept',
name... | 412 | 20.736842 | 66 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0023_concept_opcs4.py | # Generated by Django 2.2.9 on 2020-01-28 12:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0022_metatask_default'),
]
operations = [
migrations.AddField(
model_name='concept',
name='opcs4',
... | 387 | 19.421053 | 59 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0031_annotatedentity_create_time.py | # Generated by Django 2.2.9 on 2020-02-12 00:17
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0030_auto_20200208_1858'),
]
operations = [
migrations.AddField(
model_name='annotatedentity',
... | 458 | 21.95 | 98 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0063_auto_20220606_1107.py | # Generated by Django 2.2.24 on 2022-06-06 11:07
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0062_auto_20220426_1558'),
]
operations = [
migrations.AlterField(
model_name='conceptdb',... | 576 | 27.85 | 212 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0070_auto_20230711_0951.py | # Generated by Django 2.2.28 on 2023-07-11 09:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0069_auto_20230711_0938'),
]
operations = [
migrations.AlterField(
model_name='project',
name='annotation_cl... | 525 | 26.684211 | 172 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0071_auto_20230711_1654.py | # Generated by Django 2.2.28 on 2023-07-11 16:54
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0070_auto_20230711_0951'),
]
operations = [
migrations.RenameField(
model_name='project',
old_name='projected_locked... | 379 | 19 | 48 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0012_conceptdb_use_for_training.py | # Generated by Django 2.2.3 on 2019-10-01 22:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0011_projectannotateentities_cdb_search_filter'),
]
operations = [
migrations.AddField(
model_name='conceptdb',
... | 418 | 21.052632 | 66 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0050_remove_project_tuis.py | # Generated by Django 2.0 on 2021-02-02 18:31
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0049_auto_20210202_1539'),
]
operations = [
migrations.RemoveField(
model_name='project',
name='tuis',
),
]... | 321 | 16.888889 | 45 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0035_projectannotateentities_add_new_entities.py | # Generated by Django 2.2.11 on 2020-03-15 10:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0034_auto_20200212_0022'),
]
operations = [
migrations.AddField(
model_name='projectannotateentities',
name=... | 411 | 20.684211 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0039_project_cuis_file.py | # Generated by Django 2.2.11 on 2020-04-11 19:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0038_auto_20200407_1418'),
]
operations = [
migrations.AddField(
model_name='project',
name='cuis_file',
... | 407 | 20.473684 | 72 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0053_remove_projectannotateentities_clinical_coding_project.py | # Generated by Django 2.2.18 on 2021-02-16 11:58
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0052_auto_20210216_1130'),
]
operations = [
migrations.RemoveField(
model_name='projectannotateentities',
name='clin... | 359 | 19 | 49 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0036_auto_20200320_0105.py | # Generated by Django 2.2.11 on 2020-03-20 01:05
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0035_projectannotateentities_add_new_entities'),
]
operations = [
migrations.AlterField(
... | 536 | 25.85 | 127 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0028_auto_20200208_1559.py | # Generated by Django 2.2.9 on 2020-02-08 15:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0027_auto_20200208_1443'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
name... | 419 | 21.105263 | 53 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0043_auto_20200520_1018.py | # Generated by Django 2.2.12 on 2020-05-20 10:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0042_auto_20200520_0945'),
]
operations = [
migrations.AlterField(
model_name='projectannotateentities',
nam... | 496 | 25.157895 | 129 | py |
MedCATtrainer | MedCATtrainer-master/webapp/api/api/migrations/0057_auto_20210705_0954.py | # Generated by Django 2.2.24 on 2021-07-05 09:54
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('api', '0056_auto_202104... | 2,171 | 48.363636 | 153 | py |
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