Localforge supports software development with code generation, analysis, debugging, or documentation.
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Open-source project that creates or edits images with generative AI and text-based controls.
Fine-tuned on AMD MI300X for the AMD Developer Hackathon 2026 (Fine-Tuning Track).
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Machine Learning library for the web, Node.js and developers.
An open course on designing, developing, deploying, and iterating on production ML systems.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
AI design tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.
Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems.
Open source applied AI lab building next-gen devtools.
An alternative to Supabase for AI Code editors and Vibe Coding tools.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
Small Language Model tailored for edge devices.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. opensource.
Melies supports software development with code generation, analysis, debugging, or documentation.
Metabob is a real-time, intelligent code analysis engine that runs in parallel with generative AI coding tools.
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
Documentation for MiniMax, covering setup, features, and practical usage.
Overview of MiniMax AI models and their capabilities.
Self-updating documentation for startups, enterprises, and agents.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A set of functions to support the development of machine learning algorithms.