Discover @muupan Open Source projects

Yasuhiro Fujita (@muupan)

muupan

Stars
1,525
Global Rank 20,347 (Top 0.8 %)
Followers 215
Following 12
Registered over 13 years ago
Most used languages

Python
60.0 %

C++
26.7 %

JavaScript
6.7 %

Jupyter Notebook
6.7 %

deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

dqn-in-the-caffe

An implementation of Deep Q-Network using Caffe

deep-ensemble-uncertainty

An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)

Jupyter Notebook

predictron

WIP implementation of "The Predictron: End-To-End Learning and Planning" (http://arxiv.org/abs/1612.08810) in Chainer

chainer-cocob

COCOB-Backprop (https://arxiv.org/abs/1705.07795) implementation for Chainer

SexprParser

This is S-expression parser in C++11. It is aimed at being used in General Game Playing.

dobutsushogi

Dobutsu Shogi in Game Description Language (GDL v1)

ggpe

General Game Playing Engine in C++11 using YAP Prolog

chainer-weight-normalization

Weight normalization https://arxiv.org/abs/1602.07868

chainer-eve

An Eve optimizer implementation in Chainer

mcts

Monte-Carlo Tree Search Implementation for general purpose.

chainer-elu

Chainer implementation of Exponential Linear Unit (ELU)

nonogram

chainer-oplu

Orthogonal Permuatation Linear Unit (OPLU) https://arxiv.org/abs/1604.02313v3

chainer-entropy-adam

Chainer-based implementation of Entropy-Adam https://arxiv.org/abs/1611.01838

project_euler

Project Euler solutions written by muupan. Most of the solutions are written in ruby or python.