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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

deep-text-classification-pytorch

Deep neural network text classification papers in PyTorch

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

dlpython_course

Примеры для курса "Программирование глубоких нейронных сетей на Python"

dlwithtf

TensorFlow for Deep Learning Book

exercises_thushv_dot_com

Here lies all the exercises I implement and share in my website

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

interation_ddi_react

machine-learning-with-python

Python code for common Machine Learning Algorithms

my-first-blog

neural-networks

All about Neural Networks!

pk-ddi-role-identifier

A pipeline for deriving a classifier that tags the drugs mentioned within a potential drug-drug interaction statement as having the precipitant or object role.

pocket-usher

public-pddi-analysis

migrates from swat-4-med-safety/SW-DDI-catalog/drug-drug-interactions

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

styleguide-example

Repository for example styleguide project

syemcbeta

1Text

tensorflow_conv

text-classification-models-pytorch

Implementation of State-of-the-art Text Classification Models in Pytorch

webvectors

Web-ify your word2vec: framework to serve distributional semantic models online