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 AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…

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!

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

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…