tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
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An Open Source Machine Learning Framework for Everyone
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency.
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.
The open-source AI workbench for scientific research
Open-source inference server and production cluster for all the models your agent needs.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Visualizer for neural network, deep learning and machine learning models
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Apple MLX native implementations of state-of-the-art generative image & video models
Speaker diarization in Rust with pyannote-level accuracy. 1790–5970x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.
Low-code framework for building custom LLMs, neural networks, and other AI models
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Build, Manage and Deploy AI/ML Systems
Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.
Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Run Slurm in Kubernetes
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
A blazing fast inference solution for text embeddings models
Deterministic ledger for agentic data work.
Machine learning powered Karaoke app (with scores!)
Fast, streaming indexing, query, and agentic LLM applications in Rust
The code, training pipeline, and models that power Firefox Translations
Omni Browser is a secure, open-source Android browser by RebelRoot. Built on Mozilla GeckoView, it features native WebExtension support, aggressive media stream interception, a private encrypted locker, and on-device machine learning tools.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
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