#Ml-infrastructure
Showing 10 of 10 repositories tagged #ml-infrastructure, ranked by stars
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
Build, Manage and Deploy AI/ML Systems
Democratizing Reinforcement Learning for LLMs
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
:rocket: Metadata tracking and UI service for Metaflow!
A Collection of GitHub Actions That Facilitate MLOps
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Render Jupyter Notebooks With Metaflow Cards