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Collect, aggregate, and visualize a data ecosystem's metadata.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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Small Language Model tailored for edge devices.
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A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
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Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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The memory layer for Personalized AI.
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Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.
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Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs.
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Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A platform for deploying and serving machine learning models.
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Flexible Deep Learning Framework in Julia.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.