Pinned Repositories
CNTK
Microsoft Cognitive Toolkit (CNTK)
coding
coding
Cpp-Primer
C++ Primer 5 answers
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
CudaLBFGS
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
DMTK
Microsoft Distributed Machine Learning Toolkit
eesen
The official repository of the Eesen project
Hello-World
My first project
Spoon-Knife
This repo is for demonstration purposes only. Comments and issues may or may not be responded to.
RichyChen's Repositories
RichyChen/Hello-World
My first project
RichyChen/Spoon-Knife
This repo is for demonstration purposes only. Comments and issues may or may not be responded to.
RichyChen/CNTK
Microsoft Cognitive Toolkit (CNTK)
RichyChen/coding
coding
RichyChen/Cpp-Primer
C++ Primer 5 answers
RichyChen/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
RichyChen/CudaLBFGS
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
RichyChen/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
RichyChen/DMTK
Microsoft Distributed Machine Learning Toolkit
RichyChen/eesen
The official repository of the Eesen project
RichyChen/Hello_World
RichyChen/kaldi-lstm
C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA).
RichyChen/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
RichyChen/medal
Matlab Environment for Deep Architecture Learning
RichyChen/Multi-GPU
Multi-GPU
RichyChen/Paddle
PArallel Distributed Deep LEarning
RichyChen/RNN
This is a C++ implementation of Recurrent Neural Networks.(In Progress...)
RichyChen/tensorflow
Computation using data flow graphs for scalable machine learning
RichyChen/USACO
RichyChen/vectorAdd_MultiGPU
vectorAdd for MultiGPU