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1stlb

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bnn-pynq

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

cddd

Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-Arne Clevert.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chemprop_test

Message Passing Neural Networks for Molecule Property Prediction

deep-nlp-seminars

Materials for deep NLP course

deepecg

ECG classification programs based on ML/DL methods

deepgame

Multi-agent reinforcement learning programs based on Game theory

educationml

My ML examples

gans

This repository contains the scripts about GAN implementation in Python

git_course_example_repo

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-gan

Keras implementations of Generative Adversarial Networks.

morphism90.github.io

openmoltools

An open set of tools for automating tasks relating to small molecules

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rnnmorph

Морфологический анализатор на основе нейронных сетей и pymorphy2

rnns

For RNN use

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

tomskmlteam

For collaboration with students

warp-ctc

Fast parallel CTC.

wikiedits

Automatic extraction of edited sentences from text edition histories.