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Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.
A Flexible and Powerful Parameter Server for large-scale machine learning
A CPU tool for benchmarking the peak of floating points
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
Distributed Factorization Machines
A common bricks library for building scalable and portable distributed machine learning.
A distributed graph deep learning framework.
A library for efficient similarity search and clustering of dense vectors.
Library for fast text representation and classification.
An Industrial Level Federated Learning Framework
A framework for implementing federated learning
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类
Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.
LIBBLE by Parameter Server
A Library for Field-aware Factorization Machines
A recommender system based on Pinterest's Pixie recommender
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A lightweight parameter server interface
A library for encrypted, privacy preserving deep learning
Software used for generating embeddings from large-scale graph-structured data.
Geometric Deep Learning Extension Library for PyTorch
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Apache Spark
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
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.