Probabilistic Modeling Toolkit for Matlab/Octave.

Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion, matlab code

Simplifying robust end-to-end machine learning on Apache Spark.

Multi-task learning via Structural Regularization

Computation using data flow graphs for scalable machine learning

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scal…

The git repository for the TT-Toolbox

Python implementation of the TT-Toolbox

Omniglot data set for one-shot learning

Bayesian Program Learning model for one-shot learning

A Torch reimplementation of Tensor Train-layer for Neural Nets (original code and paper at https://github.com/Bihaqo/TensorNet)

Configure Caffe in one hour for Windows users.

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

image cnn + text rnn w/ GRU to generate sentiment aware text

Implementing a Neural Network from Scratch

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning

Greatness from Basis comes

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Learn machine learning for free, because free is better than not-free.

A Mex version of GRASTA (Grassmannian Robust Adaptive Subspace Tracking Algorithm)

Tensor Train Rank-1 decomposition

Parallel extensions to SPOT

Python algorithms: A*, GA, SA, HMM, DP-KP and more

项目主页：http://wepe.github.io/LeetCode/