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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

hello_world

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).

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.

medal

Matlab Environment for Deep Architecture Learning

multi-gpu

Multi-GPU

paddle

PArallel Distributed Deep LEarning

rnn

This is a C++ implementation of Recurrent Neural Networks.(In Progress...)

spoon-knife

This repo is for demonstration purposes only. Comments and issues may or may not be responded to.

tensorflow

Computation using data flow graphs for scalable machine learning

usaco

vectoradd_multigpu

vectorAdd for MultiGPU