Lists of open-source artificial intelligence software

• Auto-GPT — experimental open-source autonomous GPT-based agent • CrewAI – framework for building and orchestrating multi-agent AI workflows • LangChain – framework for integrating LLMs into applications • OpenClaw — autonomous task-executing AI agent framework == AI hardware and inference acceleration ==

LLM inference and serving frameworks • llama.cpp — library that can perform inference on various LLMs such as Llama, Mistral, Gemma, DeepSeek or Qwen. • SGLang – framework for structured generation and high-performance LLM inference and serving • vLLM – high-throughput inference engine for large language models using techniques such as PagedAttention • Ollama - a software platform that enables easy deployment and interaction with many large language models locally. Model formats and optimization toolkits • ONNX – Open Neural Network Exchange format for interoperability between AI frameworks • OpenVINO – Intel's toolkit for optimizing deep learning models for edge devices • TensorRT-LLM — Nvidia toolkit for optimizing and deploying large language models on GPUs == Artificial neural networks ==

• EDLUT – event-driven neural network simulator for large-scale spiking networks • Emergent – cognitive modeling platform implementing neural networks • Encog – machine learning framework for Java and C# supporting neural networks • JOONE – Java-based neural network framework with modular architecture for learning tasks • Nengo – Python library for building and simulating large-scale neural systems • Neuroph – lightweight Java framework for creating neural networks • OpenNN – C++ library for designing, training, and deploying neural networks • SNNS – Stuttgart Neural Network Simulator, supports feedforward and recurrent neural networks Convolutional neural networks (CNNs) • AlexNet — pioneering CNN for image classification, won the 2012 ImageNet competition • VGGNet — deep CNN known for its simplicity and use of 3x3 convolution filters • Inception — CNN architecture using parallel convolutional layers of different sizes == Chatbots ==

• LAION OpenAssistant • Mycroft == 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. == 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 == Deep learning frameworks ==

• BigDL – distributed deep learning library for Apache Spark • Caffe – deep learning framework focused on speed and modularity • Deeplearning4j – Java library for deep learning algorithms on the Java virtual machine • DeepSpeed – deep learning optimization library developed by Microsoft • fastai – deep learning library built on top of PyTorch • Fast Artificial Neural Network (FANN) – C library for feedforward neural networks • Horovod – distributed deep learning framework for TensorFlow, Keras, and PyTorch • Keras – Python library for artificial neural networks • Microsoft Cognitive Toolkit – deep learning framework developed by Microsoft Research • MXNet – deep learning framework for training and deploying deep neural networks • Neuroph – object-oriented artificial neural network framework written in Java • OpenNN – artificial neural network library written in C++ • PlaidML – deep learning backend for neural networks and tensor computations • PyTorch – deep learning framework developed by Meta AI • PyTorch Lightning – high-level framework built on top of PyTorch for organizing and scaling deep learning models • TensorFlow – end-to-end open-source platform for machine learning and deep learning developed by Google Brain • Torch – scientific computing framework with support for machine learning and deep learning algorithms ==Machine learning or data mining==

• Apache Mahout — scalable machine learning library for big data built on Hadoop and Spark • Apache SINGA — distributed deep learning and machine learning software • Apache SystemDS — ML system for the end-to-end data science lifecycle • CatBoost — machine learning library for gradient boosting on decision trees • Caffe — Image classification and image segmentation • Dlib — C++ machine learning and computer vision library • ELKI — data mining and unsupervised learning software • fastText — Word embeddings developed by Meta AI • Flux — machine learning library for the Julia programming language • Gensim — topic modelling and vector space model toolkit • JAX — machine learning library for numerical computing and automatic differentiation • H2O — machine learning and predictive analytics platform • Infer.NET — probabilistic programming framework for Bayesian inference • Jubatus — online machine learning and distributed computing framework • KNIME — modular data pipelining • LIBSVM — library for support vector machines • LightGBM — machine learning framework for gradient boosting • Microsoft Cognitive Toolkit — deep learning framework developed by Microsoft Research • MindSpore — machine learning and deep learning framework • ML.NET — machine learning framework for .NET • mlpack — C++ header-only machine learning library • MXNet — deep learning framework • Orange — machine learning, data mining, data visualization, and data analysis • Scikit-learn — library built on top of NumPy, SciPy, and matplotlib • Shogun — C++ library for large-scale machine learning • Spark MLlib — machine learning library for Apache Spark • TensorFlow — machine learning and deep learning platform • Theano — numerical computation library for machine learning • Vowpal Wabbit — machine learning system for fast online learning • Weka — collection of machine learning algorithms for data mining tasks • XGBoost — machine learning library for gradient boosting 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 == Large language models ==

• Apertus – Swiss National AI Initiative LLM • BERT – Google LLM • DeepSeek – R1 and V3 models • Gemma 4 – Google LLM • GLM-4.5 and later versions – Z.ai LLMs • GPT-1, GPT-2, and GPT-OSS – OpenAI LLMs • GPT-J – EleutherAI LLM • Grok-1 – xAI LLM • Kimi (some versions) – Moonshot AI LLMs • Mistral (some versions) • OLMo – Allen Institute for AI LLM • Phi – Microsoft LLMs • Qwen (some versions) – Alibaba Cloud LLMs • Sarvam-M, Sarvam-105B and Sarvam-30B – Sarvam AI LLMs • Step-3.5-Flash – StepFun LLM • T5 – Google LLM • XLNet – Google LLM == 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 • CMU Sphinx • DeepSpeech • Whisper == Reactive planning ==

• GOLOG – logic programming language, situation calculus, first-order logical language for reasoning about action and change. == Reinforcement learning frameworks ==

• KataGo – reinforcement learning agent designed for playing the game of Go == Robotics software ==

• ArduPilot • CoppeliaSim • Gazebo • Mobile Robot Programming Toolkit • OpenRTM-aist • Paparazzi Project • Player Project • Python Robotics • Robot Operating System • TurtleBot • Webots == Text to image ==

• Flux • Stable Diffusion == Text to speech ==

• Festival Speech Synthesis System • WaveNet • eSpeak == Transformer libraries ==

• Hugging Face transformers library – Python library of pretrained transformer models for NLP, computer vision, speech, and more. == AI-assisted algorithm discovery ==

• AlphaTensor – DeepMind reinforcement-learning system for discovering efficient matrix multiplication algorithms == See also ==