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Lists of open-source artificial intelligence software
List of open-source artificial intelligence software tools From Wikipedia, the free encyclopedia
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These are lists of open-source artificial intelligence software packages related to AI projects released under open-source licenses. These include software libraries, frameworks, platforms, and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence, and more.
 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (July 2025) |
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Machine learning or data mining
- Caffe — Image classification and image segmentation
- Scikit-learn — library built on top of NumPy, SciPy, and matplotlib
- Shogun — C++ library for large-scale machine learning
- mlpack — C++ header-only machine learning library
- Weka — collection of machine learning algorithms for data mining tasks
- Apache Mahout — scalable machine learning library for big data built on Hadoop and Spark
- Apache SystemDS — ML system for the end-to-end data science lifecycle
- Jubatus — online machine learning and distributed computing framework
- KNIME — modular data pipelining
- Orange (software) — machine learning, data mining, data visualization, and data analysis.
- RapidMiner — predictive analytics
- fastText – Word embeddings developed by Meta AI
- XGBoost — machine learning library for gradient boosting[1]
AutoML platforms
- TPOT – tree-based pipeline optimization tool using genetic programming
- Neural Network Intelligence – Microsoft toolkit for hyperparameter tuning and neural architecture search
- MindsDB – AutoML platform that embeds machine learning into SQL databases and applications[2]
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Deep learning frameworks
- TensorFlow – end-to-end open-source platform for machine learning developed by Google Brain
- PyTorch – deep learning framework developed by Meta AI
- Keras – Python library for artificial neural networks and integrated into TensorFlow library
- MXNet – framework that trains and deploys deep neural networks
- Caffe – deep learning framework focused on speed and modularity
- Chainer – Python framework on top of NumPy and CuPy
- Theano – Python library and optimizing compiler for evaluating mathematical expressions and optimized for GPUs
- Deeplearning4j – Java library for the Java virtual machine and deep learning algorithms
- Neuroph – object-oriented artificial neural network framework written in Java
- OpenNN – C++ library which implements Neural networks
- Fast Artificial Neural Network (FANN) – C library for feedforward artificial neural networks
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Cognitive architectures and AGI platforms
- OpenCog – project that aims to build an open source artificial intelligence framework
- Soar – cognitive architecture for decision-making and learning in Intelligent agents
- CLARION – Connectionist Learning with Adaptive Rule Induction On-line, hybrid connectionist/symbolic cognitive architecture.
Reinforcement learning frameworks
- KataGo – reinforcement learning agent designed for playing the game of Go
Reactive planning
- GOLOG – logic programming language, situation calculus, first-order logical language for reasoning about action and change.
Computer vision and image processing
- AForge.NET – computer vision, artificial intelligence, and robotics library for the .NET framework
- Dlib – C++ library for computer vision and image processing
- OpenCV — library of programming functions mainly for real-time computer vision
- Tesseract – optical character recognition
Natural language processing (NLP)
- Apache OpenNLP
- Apertium – rule-based machine translation platform.
- ChatScript – natural language engine and dialog management system
- General Architecture for Text Engineering – information extraction
- Gensim – topic modeling and document similarity analysis library
- GloVe – unsupervised learning algorithm for obtaining vector representations of words
- Mallet – Java "Machine Learning for Language Toolkit"
- MontyLingua – libraries and programs for symbolic and statistical NLP for both Python and Java
- Moses – statistical machine translation engine to train statistical models of text from a source language to a target language
- NiuTrans – statistical machine translation
- NLTK – natural Language toolkit for symbolic and statistical NLP
- Probabilistic Action Cores – interpreter for natural-language instructions for robotic applications
- spaCy – Python library
- Spark NLP – text processing library for advanced NLP for Python, Java, and Scala.
- Word2vec – obtaining vector representations of words
Speech recognition systems
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Large language models
Transformer libraries
- Hugging Face transformers library – Python library of pretrained transformer models for NLP, computer vision, speech, and more.
- Fairseq – Facebook AI Research's sequence-to-sequence learning toolkit for training custom transformer models[3]
- OpenNMT – neural machine translation framework that supports transformer architectures[4]
Chat bots
Text to speech
Text to image
AI hardware and inference acceleration
- OpenVINO – Intel's toolkit for optimizing deep learning models for edge devices
- ONNX – Open Neural Network Exchange format for interoperability between AI frameworks
Robotics software
See also
- List of artificial intelligence journals and List of artificial intelligence books
- List of artificial intelligence projects
- List of free and open-source software packages for artificial intelligence
- Open-source artificial intelligence
- Common Crawl – nonprofit that crawls the web and freely provides its archives and datasets to the public under an MIT License
- Google Colab – an O-IDE Jupyter notebook environment with free access to GPUs and TPUs for machine learning and deep learning development
References
External links
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