🚀 Build and manage real-life ML, AI, and data science projects with ease!

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Efficient Deep Learning Systems course materials (HSE, YSDA)

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

A Collection of GitHub Actions That Facilitate MLOps

Utilities for preprocessing text for deep learning with Keras

🚀 Metadata tracking and UI service for Metaflow!

Run GPU inference and training jobs on serverless infrastructure that scales with you.

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

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

A standalone inference server for trained Rubix ML estimators.

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

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

Render Jupyter Notebooks With Metaflow Cards

Sample notebooks that use the Openlayer Python API

Kubeflow blog based on fastpages

RFlow - A workflow framework for agile machine learning

Example ML projects that use the Determined library.

A SageMaker-based ML system solution