#Ml-platform
Showing 11 of 11 repositories tagged #ml-platform, ranked by stars
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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.
Ultrafast serverless GPU inference, sandboxes, and background jobs
:rocket: Metadata tracking and UI service for Metaflow!
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 🌸
"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.
AI lifecycle platform for classical ML and agentic systems. Versioned, encrypted registries for data, models, experiments, prompts, agents, MCPs, and skills. Pre/deploy/post-deployment patterns. Real-time monitoring and evaluation via Scouter. Rust core, governed by design