CasyWang

fastText

Library for fast text representation and classification.

alphaFM

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

Blogs

record of reading papers

cppjieba

"结巴"中文分词的C++版本

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

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

ftrl_proximal_lr

Multithreaded Asynchronous FTRL Proximal Implementation

imageBinaryDataset

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

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.

Metrics

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

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

seq2seq-keyphrase

Sequence-Semantic-Embedding

simhash

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

Starspace

Learning embeddings for classification, retrieval and ranking.

tensorflow

Open source software library for numerical computation using data flow graphs.

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

TensorFlow-Summarization

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow