Machine Learning
Showing 36 of 670 projects
Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.
A curated collection of tutorials and resources following the data scientist roadmap for learning essential data science skills.
A distributed caching platform that bridges computation frameworks and storage systems for large-scale analytics and ML workloads.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
A Rust library for building scalable, modular, and ergonomic LLM-powered applications.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A Python framework for creating AI agents that learn to play any video game you own.
An open-source feature store for managing and serving machine learning features for training and online inference.
An architecture-free neural network library for Node.js and the browser, supporting various network types.
An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.
A curated collection of standalone examples demonstrating machine learning tasks with TensorFlow.js in browsers and Node.js.
A Python scikit for building and analyzing recommender systems that handle explicit rating data.
A public dataset of 50 million vector drawings across 345 categories, captured from the Quick, Draw! game.
A multi-domain Chinese word segmentation toolkit offering higher accuracy and domain-specific models.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
A collection of teaching materials, code, and data for data analysis and machine learning projects with accompanying blog posts.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
A curated list of research papers, datasets, and software projects for machine learning applied to source code (MLonCode).
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
An open-source observability tool for Kubernetes applications that automatically collects telemetry using eBPF and provides in-cluster edge compute.
An open-source observability tool for Kubernetes applications that automatically collects telemetry using eBPF.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.