Anomaly detection related books, papers, videos, and toolboxes

Classic papers and resources on recommendation

Papers on Computational Advertising

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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

A flexible, high-performance serving system for machine learning models

TensorFlow template application for deep learning

xgboost在线预测

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Distributed FM and LR based on Rabit with Lbfgs

Distributed FM and LR based on Parameter Server with Ftrl

Distributed Factorization Machines

Caffe: a fast open framework for deep learning.

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This is the code for the "How to Make a Path Planning Algorithm Easily " live session by @Sirajology on Youtube

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

Clustering time series using Gaussian processes and Variational Bayes.

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

鉴于我没有时间继续写这个东西，这个项目暂时废止

Visual scraping for Scrapy

Microsoft Distributed Machine Learning Toolkit

An Open Source Machine Learning Framework for Everyone

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

word2vec variations

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

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency