Build, Manage and Deploy AI/ML Systems

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

🚀 Metadata tracking and UI service for Metaflow!

deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Example ML projects that use the Determined library.

Render Jupyter Notebooks With Metaflow Cards

A tool for training models to Vertex on Google Cloud Platform.

RFlow - A workflow framework for agile machine learning

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

Main python package for deploying and managing machine learning models in production

Deep learning inference-as-a-service tools and pipelines for gravitational wave physics

ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML

Cira set in production

Reference implementation for deploying ML models from notebooks to production

A system-agnostic framework for generating comprehensive technical curriculum content using AI assistance

Decenteralized AI training platform for all

Python package that simplifies the creation of AWS infrastructure for simulating real-time data streaming and batch processing, ideal for integrating into machine learning projects.