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-A…

Message Passing Neural Networks for Molecule Property Prediction

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

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

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Морфологический анализатор на основе нейронных сетей и pymorphy2

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

Materials for deep NLP course

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

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

Keras implementations of Generative Adversarial Networks.

Automatic extraction of edited sentences from text edition histories.

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

Fast parallel CTC.

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