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#

ml-platform

Here are 26 public repositories matching this topic...

wandbmetaflow

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

  • UpdatedMar 17, 2025
  • Python
determined

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

  • UpdatedMar 17, 2025
  • Go

🎨 UI for monitoring your Metaflow executions!

  • UpdatedMar 17, 2025
  • TypeScript

🚀 Metadata tracking and UI service for Metaflow!

  • UpdatedMar 17, 2025
  • Python

Finetune LLMs on K8s by using Runbooks

  • UpdatedAug 28, 2024
  • Go

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

  • UpdatedJun 14, 2024
  • Shell

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

  • UpdatedFeb 25, 2025
  • Jupyter Notebook

"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.

  • UpdatedAug 12, 2024
  • Jupyter Notebook

A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments

  • UpdatedOct 10, 2023
  • HCL
ai-ml-project-template

A "production-ready" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory structure.

  • UpdatedAug 29, 2024

Welcome to the Machine Learning Engineering Repository, a comprehensive collection of resources, code, and insights to guide you through the exciting world of machine learning. This repository is designed to provide valuable information, best practices, and hands-on examples for individuals keen on mastering the art and science of machine learning

  • UpdatedFeb 25, 2025
  • Jupyter Notebook
anomaly-detection-platform

A SageMaker-based ML system solution

  • UpdatedOct 4, 2022
  • Jupyter Notebook

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