benjamesbabala Goto Github PK

rl_algorithms

I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

rl_toolbox

reinfore learning tool box, contains trpo, a3c algorithm for continous action space

rl_tutorial

Yet Another Reinforcement Learning Tutorial

rmt4elm

A Random Matrix Approach to Extreme Learning Machine

rnn

Recurrent Neural Network library for Torch7's nn

rnn-1

Torch recurrent neural networks

rnn-benchmark

rnn-benchmarks

Benchmarks for several RNN variations with different deep-learning frameworks

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

rnn-role

Code used by the paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?".

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-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

rnn_sent

Recurrent neural networks and Dynamic memory networks for sentiment classification

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.

rnnsharp

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary

robo-vln

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

roboinstruct-1

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

robosumo

RoboSumo competitive multi-agent environments.

robot-dream

Prototype implementation of an architecture suggested in Robot Dream paper (http://arxiv.org/abs/1603.03007)

robotics

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

robust-representation

robustvideomatting

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

rocket-launching

A universal and efficient framework for training well-performing light net

rodeo

A data science IDE for Python

roi-pooling