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rl-cc

Web-based Reinforcement Learning Control Center

rl4nlp

Reinforcement learning for natural language processing reading group

rl_ddm

Reinforcement learning + drift-diffusion modeling

rllab

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

rlntm

An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521

rlpy

RLPy Reinforcement Learning Framework

rltorch

A RL package for Torch that can also be used with openai gym

rmn

relationship modeling networks (NAACL 2016)

rmn-1

Recurrent Memory Network - Torch implementation

rnn

Recurrent Neural Network library for Torch7's nn

rnn-em

Recurrent Neural Network with External Memory in Keras

rnn-lang-model

Train a deep recurrent neural network LSTM character-level language model using Keras

rnn-syn

Analogs of Linguistic Structure in Deep Representations

rnn-tutorial

RNN Tutorial for Artists

rnn-tutorial-1

Recurrent Neural Networks - A Short TensorFlow Tutorial

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rnn-writer

rnn_basketball

LSTM + MDN for basketball trajectories

rnn_experiments

General experiments on Vanilla RNN and LSTM in Theano.

rnn_lm

various simple RNNs trained on synthetic grammars

rnn_music

RNN training on the Polyphonic Music dataset

rnn_reader

Implementation of "Teaching Machines to Read and Comprehend" in Theano/Lasagne

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.

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

rouge-we

ROUGE summarization evaluation metric, enhanced with use of Word Embeddings

routers-news

A crawler for various popular tech news sources. Read technology news from the comfort of your CLI.

runningmaxmin

Fast maximum-minimum filters implemented in C++

rwa

Machine Learning on Sequential Data Using a Recurrent Weighted Average

s-wmd

Code for Supervised Word Mover's Distance (S-WMD)