A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.
Rails-like inflection library for Clojure and ClojureScript.
Natural Language Processing in Clojure (opennlp).
Implementation of Random Forest in Common Lisp.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Wrapper for the libsvm support vector machine library. [Deprecated]
Evolutionary algorithms. [Deprecated]
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well).
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]
An offline speech recognition toolkit with C++ support, designed for low-resource devices and multiple languages.
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.
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
C, C++, and Python tools for named entity recognition and relation extraction
MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
C++ library for the FoLiA format
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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.
BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).
A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
An Easy-to-Use and High-Performance AI deployment framework.
Comprehensive backpropagation tool for C++.
A platform for reproducible and scalable machine learning and deep learning.
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 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 library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
A fast SVM library on GPUs and CPUs.
A fast library for GBDTs and Random Forests on GPUs.
A parallelized optimized general purpose gradient boosting library.
A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
A fast out-of-core learning system.
The Shogun Machine Learning Toolbox.
An open-source, low-code machine learning library in Python that automates machine learning workflows.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
Open source AI infrastructure layer. Eight agents run automatically: security, caching, memory, hallucination detection, and tamper-proof audit trail. Runs locally.
An open-source cross-platform performance library for deep learning applications.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A generic approach that allows to mimic most factorization models by feature engineering.
Microsoft's 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.
A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
Easy-to-use and flexible AutoML library for Python.