A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
A data-intensive platform for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.
A platform for reproducible and scalable machine learning and deep learning.
Comprehensive backpropagation tool for C++.
An Easy-to-Use and High-Performance AI deployment framework.
A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).
C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
C++ library for the FoLiA format
MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
C, C++, and Python tools for named entity recognition and relation extraction
Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
An offline speech recognition toolkit with C++ support, designed for low-resource devices and multiple languages.
This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well).
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Evolutionary algorithms. [Deprecated]
Wrapper for the libsvm support vector machine library. [Deprecated]
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Implementation of Random Forest in Common Lisp.
Natural Language Processing in Clojure (opennlp).
Rails-like inflection library for Clojure and ClojureScript.
A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.
A machine learning library for Clojure built on top of Weka and friends.
Clojure A/B testing library.
The Push programming language and the PushGP genetic programming system implemented in Clojure.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
Inference and machine learning in Clojure. [Deprecated]
Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). [Deprecated]
A genetic programming library for Clojure. [Deprecated]
Basic Machine Learning algorithms in Clojure. [Deprecated]
General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]