Discover the best AI GitHub Repos — from personal AI assistants and workflow automation platforms to machine learning frameworks, open-source coding agents, and model-definition tools, this is where developers find resources that streamline their daily tasks: building intelligent assistants, automating workflows, developing machine learning models, and managing source code collaboration. Browse 12 AI GitHub Repos spanning AI Agent Builders, AI Models & LLMs, AI Coding Assistants, Machine Learning Platforms and MLOps & Model Deployment and more.
12 tools
AI GitHub Repos
Open-source desktop application designed for scientific research and agent workflows. It supports Python/R execution, offers extensible skills, and…Open Science AI Workbench is an open-source desktop application designed for scientific research and agent workflows. It supports Python/R execution, offers extensible skills, and…
Ranked #143 in Coding & DevelopmentAI GitHub Repos
Open-source package designed for solving complex chemical tasks using large language models. Built with Langchain, it integrates tools like RDKit and databases such…ChemCrow is an open-source package designed for solving complex chemical tasks using large language models. Built with Langchain, it integrates tools like RDKit and databases such…
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Physics Informed Neural Networks (PINNs) solve supervised learning tasks by respecting physical laws described by nonlinear partial differential equations. They enable data-driven…
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High-resolution de novo protein structure prediction tool that generates 3D protein structures directly from primary amino acid sequences. It offers significant…OmegaFold is a high-resolution de novo protein structure prediction tool that generates 3D protein structures directly from primary amino acid sequences. It offers significant…
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Geometric deep learning model for predicting the 3D structure of small molecules binding to proteins. It offers fast, direct-shot predictions for both receptor…EquiBind is a geometric deep learning model for predicting the 3D structure of small molecules binding to proteins. It offers fast, direct-shot predictions for both receptor…
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Universal 3D molecular representation learning framework for various downstream tasks like property prediction and binding pose prediction. It includes Uni-Mol+,…Uni-Mol is a universal 3D molecular representation learning framework for various downstream tasks like property prediction and binding pose prediction. It includes Uni-Mol+,…
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AI-based system for accurate medium-range global weather forecasting. It utilizes 3D neural networks and a hierarchical temporal aggregation strategy to…Pangu-Weather is an AI-based system for accurate medium-range global weather forecasting. It utilizes 3D neural networks and a hierarchical temporal aggregation strategy to…
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Google DeepMind's GNoME is a deep learning tool that accelerates the discovery of new inorganic crystals. It predicts material stability, identifying millions of novel compounds,…
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Python library for fast and accurate machine learning interatomic potentials. It utilizes higher-order equivariant message passing for advanced material science…MACE is a Python library for fast and accurate machine learning interatomic potentials. It utilizes higher-order equivariant message passing for advanced material science…
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The MEGNet framework is an AI model designed for machine learning in crystals and molecules. It incorporates state variables like temperature and pressure, enables transfer…
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Crystal Graph Convolutional Neural Networks (CGCNN) is an AI model designed to predict material properties from crystal structures. It enables users to train custom models or…
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Open-source AI framework designed to democratize deep learning for drug discovery, quantum chemistry, materials science, and biology. It provides tools and…DeepChem is an open-source AI framework designed to democratize deep learning for drug discovery, quantum chemistry, materials science, and biology. It provides tools and…
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