Tuned OpenCL BLAS
Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.
System integration and performance tests
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...)
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
Architecture-free neural network library for node.js and the browser
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
Zipline, a Pythonic Algorithmic Trading Library
Acceleration package for neural networks on multi-core CPUs
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
A scalable machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Library for fast text representation and classification.
Fast, Scientific and Numerical Computing for the JVM (NDArrays)
Curator: Tending your Elasticsearch indices
Simple neural network library in ANSI C
A python package that provides Tensor computation (like numpy) with strong GPU acceleration and Deep Neural Networks built on a tape-based autograd system
A library for generalized sequence to sequence models
Deep Learning Pipelines for Apache Spark
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Quantitative Financial Modelling Framework
Deep learning library featuring a higher-level API for TensorFlow.
header only, dependency-free deep learning framework in C++11
Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.
Machine Learning for Go
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator
Node.js bindings for Apache Spark DataFrame APIs
High-quality implementations of reinforcement learning algorithms