An implement of Factorization Machines (LibFM)
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Mirror of Apache Spark
Apache Spark Website
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Models and examples built with TensorFlow
An Open Source Machine Learning Framework for Everyone
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
A common bricks library for building scalable and portable distributed machine learning.
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.
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, Flink and DataFlow
A Flexible and Powerful Parameter Server for large-scale machine learning
Open Source In-Memory Data Grid
Mirror of Apache Ignite
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.
A Library for Field-aware Factorization Machines
Library for factorization machines
Reliable Allreduce and Broadcast Interface for distributed machine learning
A lightweight parameter server interface
A scalable blockchain built on cluster(in progress)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
scikit-learn: machine learning in Python