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An API Blueprint renderer with theme support that outputs static HTML
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
Stanford CoreNLP: A Java suite of core NLP tools.
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
Deep Clustering
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
DeepWalk - Deep Learning for Graphs
A distributed logistic regression system based on ps-lite.
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).
Must-read papers on graph neural networks (GNN)
Implementation and experiments of graph embedding algorithms.
光 HikariCP・A solid high-performance JDBC connection pool at last.
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
LINE: Large-scale information network embedding
Natural Language Processing Tutorial for Deep Learning Researchers
Papers with code. Sorted by stars. Updated weekly.
Classic papers and resources on recommendation
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Simple Reinforcement learning tutorials
A Curated List of Must-read Papers on Recommender System.
Mirror of Apache Spark
The Enterprise-ready testing and specification framework.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.