yaobao

DMCE

2048-AI

A simple AI for 2048

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

DMTK

Microsoft Distributed Machine Learning Toolkit

EMTC

External Memory Triangle Counting Algorithm

free-programming-books

:books: Freely available programming books

how-to

How-Tos for GraphLab Create

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.

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

sf1r-lite

Search Formula-1——A distributed high performance massive data engine for enterprise/vertical search

tensorflow

Computation using data flow graphs for scalable machine learning

weiquncrawler

This is a crawler for Sina Weiqun website(WAP) information, including given Weiqun's posts, replies, users and their follow relation. Written in Python 2.7.1, store data in SQLite3. Relation-crawling part customized on Github Project sina_reptile.

x-deeplearning

An industrial deep learning framework for high-dimension sparse data