An open course on designing, developing, deploying, and iterating on production ML systems.
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A federated, open-source data catalog for all your big data and small data.
Combine LLMs and code to create simple automations.
AI design tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.
Distributed linear algebra framework and mathematically expressive Scala DSL.
An alternative to Supabase for AI Code editors and Vibe Coding tools.
A Julia package for manifold learning and nonlinear dimensionality reduction.
An awesome list: AI for art and design.
Analyzes structured data and helps produce queries, insights or visualizations.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Helps find, analyze or synthesize information for research and knowledge discovery.
Collect, aggregate, and visualize a data ecosystem's metadata.
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
MassiveMark catalogs AI services and resources for browsing by feature or use case.
Supports teaching, studying or skills practice with AI-guided learning tools.
Analyzes structured data and helps produce queries, insights or visualizations.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. opensource.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.