AMD's Machine Intelligence Library
My version of the AtariRAMPolicy uses TensorFlow where the original uses Computational Graph Toolkit.
Minimal LSTM Layer in TensorFlow.
A Quick and Dirty Progressive Neural Network written in TensorFlow.
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Reference implementation of a two-level RCN model
R-NET implementation in Keras.
Variational Walkback, NIPS'17
A toolkit for developing and comparing reinforcement learning algorithms.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Main SfePy repository
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
An experimental technique for efficiently exploring neural architectures.
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An implementation of Deep Reinforcement Learning from Human Preferences [Christiano et al., 2017]
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
TensorFlow-based neural network library
OpenScad code for a 3D printable modular vertical grow tower.
Deep learning with dynamic computation graphs in TensorFlow
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending
OctNet: Learning Deep 3D Representations at High Resolutions
Bidirectional Attention Flow
Bullet Physics 3.x AND Bullet 2 official repository with GPU rigid body pipeline
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Abstract Algebra for Scala
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