gongchensz,gc,github

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

caffe

Caffe: a fast open framework for deep learning.

capsule-forensics-v2

Implementation of the Capsule-Forensics-v2

celeb-deepfakeforensics

Celeb-DF: A New Dataset for DeepFake Forensics

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

codec2

Open source speech codec designed for communications quality speech between 450 and 3200 bit/s. The main application is low bandwidth HF/VHF digital radio.

convolutionaneuralnetworkstoenhancecodedspeech

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

cvblob

Automatically exported from code.google.com/p/cvblob

cvpytorch

CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

dcraw

dcraw with -O option for imagemagick

deep-learning-world

:satellite: Organized Resources for Deep Learning Researchers and Developers

deeperforensics-1.0

Code, model and data of DeeperForensics-1.0 will be made publicly available here.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-note

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark

deeplearningbook-chinese

Deep Learning Book Chinese Translation

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.