LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.
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Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Infer.NET provides machine-learning models, research, training resources, or evaluation tools.
Helps teams build, deploy, observe or operate machine-learning systems.
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
Kokoro-82M supports machine learning models, deployment, inspection, datasets, or AI development workflows.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
Algorithms for learning and inference with discrete probabilistic models.
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A model gateway and unified interface for multiple model providers.
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
LLMSTXT.NEW provides machine-learning models, research, training resources, or evaluation tools.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
An open course on designing, developing, deploying, and iterating on production ML systems.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Helps teams build, deploy, observe or operate machine-learning systems.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.