Helps teams build, deploy, observe or operate machine-learning systems.
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github.com
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
github.com
Kubernetes-based system for hyperparameter tuning and neural architecture search.
respan.ai
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
github.com
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
github.com
Open source MLOps project that eases model handoffs between data scientist and DevOps.
github.com
Standardized Serverless ML Inference Platform on Kubernetes.
kubeflow.org
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
github.com
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
github.com
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
github.com
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
github.com
Neural network inference from the command line, implemented in CHICKEN Scheme.
libra.cs.uoregon.edu
Algorithms for learning and inference with discrete probabilistic models.
docs.litellm.ai
A model gateway and unified interface for multiple model providers.
lunary.ai
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
mastra.ai
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
getmaxim.ai
Helps teams build, deploy, observe or operate machine-learning systems.
milvus.io
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
minimaxi.com
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
github.com
Version and deploy your ML models following GitOps principles.
mlflow.org
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
github.com
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
github.com
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
github.com
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.