Mark's repositories
nn_example
Some example for different machine learning framework.
AlphaAI
Use unsupervised and supervised learning to predict stocks
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.
linux
Linux kernel source tree
math-neon
Automatically exported from code.google.com/p/math-neon
mexopencv
Collection and a development kit of matlab mex functions for OpenCV library
mlogging
logging for multiprocess
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
opencl-toolbox
OpenCL support for MATLAB
Paddle
PArallel Distributed Deep LEarning
pytorch-ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
simple_faster_rcnn
run this repository only depend python2.7 and Pytorch (0.3 or 0.4)
tensorflow
Computation using data flow graphs for scalable machine learning
THSTrader
量化交易。最新版通用版同花顺客户端的python API。(Python3)
tushare
TuShare is a utility for crawling historical data of China stocks