CaffeOnSpark brings deep learning to Hadoop and Spark clusters
Abstract Algebra for Scala
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Elassandra = cassandra + elasticsearch
Library for fast text representation and classification.
Zipline, a Pythonic Algorithmic Trading Library
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
Statistical Machine Intelligence & Learning Engine
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
MLDB is the Machine Learning Database
Versatile parallel programming with task scheduling
The Apache Kafka C/C++ library
Fast Recurrent Networks Library
Fast parallel CTC.
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between multiple languages
Distributed computation in Python
SystemML is a flexible, scalable machine learning system
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL
A cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers
scalable analysis of images and time series
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
A machine learning package built for humans.
Swift for TensorFlow documentation repository.
An Embedded, Modern Computer Vision & Machine Learning Library
Core Sketch Library.
A PyTorch library for machine translation that provides training for sequence-to-sequence models
Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines
Friendly machine learning for the web!
Tokenizers and lemmatizers for Go