The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
-
Updated
Jun 13, 2025 - Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Build, Manage and Deploy AI/ML Systems
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via 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.
Scalable Infrastructure for Running Your AI Workloads at Scale
🎨 UI for monitoring your Metaflow executions!
🚀 Metadata tracking and UI service for Metaflow!
Finetune LLMs on K8s by using Runbooks
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
"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.
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
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.
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
Example notebooks using the TurboML platform
Resources on real-time machine learning
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
Demos using TurboML!
A SageMaker-based ML system solution
Add a description, image, and links to the ml-platform topic page so that developers can more easily learn about it.
To associate your repository with the ml-platform topic, visit your repo's landing page and select "manage topics."