spark-libFM Scala 241

An implement of Factorization Machines (LibFM)

SparkGBM Terra 57

Spark-based GBM

SparkFM Scala 2

Spark-based FM

spark-optimization Scala 2

spark * Scala 1

Mirror of Apache Spark

catboost * C++ 1

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.

spark-rules Scala 1

pytorch * Python 0

Tensors and Dynamic neural networks in Python with strong GPU acceleration

breeze * 0

Breeze is a numerical processing library for Scala.

scikit-learn * Python 0

scikit-learn: machine learning in Python

hive * 0

Apache Hive

xgboost * 0

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

spark-website * 0

Apache Spark Website

vowpal_wabbit * 0

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

faiss * 0

A library for efficient similarity search and clustering of dense vectors.

incubator-mxnet * 0

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

996.ICU * Python 0

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

models * Python 0

Models and examples built with TensorFlow

tensorflow * C++ 0

An Open Source Machine Learning Framework for Everyone

flink * Java 0

Apache Flink

mshadow * C++ 0

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

dmlc-core * C++ 0

A common bricks library for building scalable and portable distributed machine learning.

LightGBM * C++ 0

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.

angel * Java 0

A Flexible and Powerful Parameter Server for large-scale machine learning

hazelcast-yarn * Java 0

hazelcast * Java 0

Open Source In-Memory Data Grid

ignite * Java 0

Mirror of Apache Ignite

zen * Scala 0

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.

libffm * C++ 0

A Library for Field-aware Factorization Machines

libfm * C++ 0

Library for factorization machines

rabit * C++ 0

Reliable Allreduce and Broadcast Interface for distributed machine learning

ps-lite * C++ 0

A lightweight parameter server interface

AElf * C# 0

A scalable blockchain built on cluster(in progress)

pymc3 * Python 0

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano