SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
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Updated
Jun 13, 2024 - Python
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.
🚀 Metadata tracking and UI service for Metaflow!
Example ML projects that use the Determined library.
🚀 Build and manage real-life ML, AI, and data science projects with ease!
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Run GPU inference and training jobs on serverless infrastructure that scales with you.
Kubeflow blog based on fastpages
Sample notebooks that use the Openlayer Python API
Efficient Deep Learning Systems course materials (HSE, YSDA)
A standalone inference server for trained Rubix ML estimators.
Decenteralized AI training platform for all
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
A tool for training models to Vertex on Google Cloud Platform.
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Utilities for preprocessing text for deep learning with Keras
A Collection of GitHub Actions That Facilitate MLOps
Add a description, image, and links to the ml-infrastructure topic page so that developers can more easily learn about it.
To associate your repository with the ml-infrastructure topic, visit your repo's landing page and select "manage topics."