ml-lab Goto Github PK

rgan

rgb_stacking

riddle

Race and ethnicity Imputation from Disease history with Deep LEarning

rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

ringnet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

rl-adventure

Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.

rl-adventure-2

PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-agents

Implementations of Reinforcement Learning algorithms

rl-attack-detection

Detecting adversarial example attack using visual foresight module in RL setting

rl-teacher

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

rl4as_nettrans

Reinforcement Learning for Architecture Search by Network Transformation

rl_a3c_pytorch

Reinforcement learning with implementation of A3C LSTM for Atari 2600

rlbot

A neural network which tries to play rocket league.

rlenvs

Reinforcement learning environments for Torch7

rlgraph

RLgraph: Modular computation graphs for deep reinforcement learning

rliable

Open-source library for reliable evaluation on reinforcement learning and machine learnings benchmarks.

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rlntm

rlpyt

Reinforcement Learning in PyTorch

rlsepsis234

CS234 Sepsis Simulator For RL

rmn

rmpe

RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.

rnn

Recurrent Neural Network library for Torch7's nn

rnn-from-scratch

Implementing Recurrent Neural Network from Scratch

rnn-writer

rnn_basketball

LSTM + MDN for basketball trajectories

rnnexp

rnnlg

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

rnnpose

rnnprop

RNNprop