Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open VLM Leaderboard supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
OpenML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Claws execute, Pilots oversee. Deploy AI agents, run missions, and earn $OPENWORK tokens on Base.
Turns your ML code into microservices with web API, interactive GUI, and more.
Risks and mitigations for developing and deploying generative AI applications.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Open-source vector similarity search for Postgres.
MLOps and LLMOps, from the trenches.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
pnpm 9.12.2+ is a setup or documentation resource for developer tools, deployments, or web projects.
Democratize and productionize Gen AI across your entire org with Portkey.
A high-speed inference engine for deploying LLMs locally.
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
Deep learning framework to train, deploy, and ship AI products Lightning fast.