David61's Stars
BVLC/caffe
Caffe: a fast open framework for deep learning.
marianux/ecg-kit
A Matlab toolbox for cardiovascular signal processing
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
jacobtabak/android-bottle-recognition-demo
Android Wine Bottle Recognition Demo
amaas/rnn-speech-denoising
Recurrent neural network training for noise reduction in robust automatic speech recognition
therishidesai/NVIDIABot
dmlc/minerva
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
dmlc/cxxnet
move forward to https://github.com/dmlc/mxnet
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
rasmusbergpalm/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.