An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A federated, open-source data catalog for all your big data and small data

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

The Open Source Feature Store for AI/ML

Open-source implementation of Google Vizier for hyper parameters tuning

A hyperparameter optimization framework

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

The collaboration workspace for Machine Learning

Algorithms for explaining machine learning models

Experiment tracking, ML developer tools

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Open Source ML Model Versioning, Metadata, and Experiment Management

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

An open-source, low-code machine learning library in Python

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

Workflow Engine for Kubernetes

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Fit interpretable models. Explain blackbox machine learning.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automate…