CaffeBVLC/caffe
A deep learning framework developed with cleanliness, readability, and speed in mind.

trekhleb/machine-learning-octave
Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.
A deep learning framework developed with cleanliness, readability, and speed in mind.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Training a deep autoencoder or a classifier on MNIST digits.
Convolutional-Recursive Deep Learning for 3D Object Classification.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.