stoneyang-ai Goto Github PK

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

awesome-public-datasets

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gym

A toolkit for developing and comparing reinforcement learning algorithms.

libsvm

ml_model_lib

Python scripts for generating model definition in caffe, tensorflow, mxnet, torch, and theano.

mlapp-solutions

Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pysc2

StarCraft II Learning Environment

pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

redgiant

A simple, light-weighted indexing and search system designed for small scale personalized recommendation.

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

tiny-cnn

deep learning(convolutional neural networks) in C++11/TBB

transforming-autoencoders

worldmodels.github.io

World Models