Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
A Whisper CLI client compatible with the original OpenAI client, using CTranslate2 for faster inference. opensource.
Port of OpenAI's Whisper model in C/C++. opensource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
An AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
↗ external - Open-source dictation that types where you talk.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI Jukebox supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A comprehensive set of fairness metrics for datasets and machine learning models.
Easy way to turn any app into searchable data for LLMs.
Code and documentation to train Stanford's Alpaca models, and generate the data.