wushanding

tensorflow

An Open Source Machine Learning Framework for Everyone

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets.

caffe

Caffe: a fast open framework for deep 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, Dask, Flink and DataFlow

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

gradle

Adaptable, fast automation for all

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

list_of_recommender_systems

A List of Recommender Systems and Resources

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

DMTK

Microsoft Distributed Machine Learning Toolkit

kcws

Deep Learning Chinese Word Segment

hao

好东西传送门

bosen

Parallel ML System - Bosen project

LightLDA

Scalable, fast, and lightweight system for large-scale topic modeling

Fregata

A light weight, super fast, large scale machine learning library on spark .

NeuralDialogPapers

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

parameter_server

moved to https://github.com/dmlc/ps-lite

Yahoo_LDA

Yahoo!'s topic modelling framework using Latent Dirichlet Allocation

zen

Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.

Mr.LDA

Scalable Topic Modeling using Variational Inference in MapReduce

lushan

lab_common_so

An effective C/C++ compute frame

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.