casywang Goto Github PK

algorithmlib

Common-used C++ algorithm class.

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

blogs

record of reading papers

cloudpan

gateway between PAN network and Cloud, using the MQTT messaging protocol to communicate with Cloud

coin_detecting_robot

Detecting one jiao/five jiao/one yuan coins using makeblock scara robot arm.

cppjieba

"结巴"中文分词的C++版本

crackingprogram

50 programming problems posted in my blog.

cubeserver

A distribute open source hardware testing server.

cuda-convnet

Automatically exported from code.google.com/p/cuda-convnet

deep_recommend_system

Deep learning recommend system with TensorFlow

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearningbook

MIT Deep Learning Book in PDF format

deviceserver

A Device Server based on Node.js and MongoDB.

dlrm

An implementation of a deep learning recommendation model (DLRM)

doc2vec

C++ implement of Tomas Mikolov's word/document embedding

familia

A Toolkit for Chinese Topic Modeling

fasttext

Library for fast text representation and classification.

ftrl_proximal_lr

Multithreaded Asynchronous FTRL Proximal Implementation

imagebinarydataset

imgstorage

Static Image file storage for other system.

javapns

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

kaggle-2014-criteo

kaggler

Code for Kaggle Data Science Competitions

lambdafm

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

libffm-ftrl

libffm with ftrl updater

libjson-rpc-cpp

C++ framework for json-rpc (json remote procedure call)

lightgbm

LightGBM is 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.

mahout

Mirror of Apache Mahout

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

mia

Mahout in Action Example Code