The classical paper list with code about generative adversarial nets

Generative adversarial network for generating electronic health records.

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

💿 Free software that works great, and also happens to be open-source Python.

Neural networks for monitoring cardiac data

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

Curated list of awesome GAN applications and demo

A best practice for tensorflow project template architecture.

Jupyter notebooks for teaching/learning Python 3

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

An open source framework for seq2seq models in PyTorch.

TensorFlow Neural Machine Translation Tutorial

Sequence-to-Sequence learning using PyTorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Deep Reinforcement Learning For Sequence to Sequence Models

A curated list of awesome Deep Learning tutorials, projects and communities.

PyTorch Tutorial for Deep Learning Researchers

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Full text geoparsing as a Python library

Code for "Divide-and-Conquer Reinforcement Learning"

HDLTex: Hierarchical Deep Learning for Text Classification

Simple and comprehensive tutorials in TensorFlow

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

A library for generalized sequence to sequence models

A PyTorch library for two-sample tests

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Sparse Variational Dropout, ICML 2017