Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

A curated list of awesome Python frameworks, libraries and software

Facebook's extensions to torch/cunn.

A Machine Learning library based on Theano

A python library for implementing a recommender system

A global, black box optimization engine for real world metric optimization.

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

Breze with all the stuff.

Deep Learning Tutorial notes and code. See the wiki for more info.

Optimizers for machine learning

vcluster project

ADMM based large scale logistic regression

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

papery - create your simple, fast & elegant blog with plain text

A framework for large-scale machine learning and graph computation.

Restlet Framework for Java

High Performance Inter-Thread Messaging Library

Exploiting SNP correlations within Random Forest for Genome-Wide Association Studies

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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 …

Lessons in the Fundamentals of Scala

Canopy Clustering using MapReduce [Hadoop]

Mirror of Apache Spark

Train word embeddings with an RBM and Noise Contrastive Estimation training

Deep Learning and Applications--Demo

大数据机器学习框架