🚀 Build and manage real-life ML, AI, and data science projects with ease!
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Updated
May 15, 2024 - Python
🚀 Build and manage real-life ML, AI, and data science projects with ease!
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.
Efficient Deep Learning Systems course materials (HSE, YSDA)
🚀 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.
A Collection of GitHub Actions That Facilitate MLOps
Kubeflow blog based on fastpages
Utilities for preprocessing text for deep learning with Keras
Run GPU inference and training jobs on serverless infrastructure that scales with you.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
A standalone inference server for trained Rubix ML estimators.
A tool for training models to Vertex on Google Cloud Platform.
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
A SageMaker-based ML system solution
Deep learning inference-as-a-service tools and pipelines for gravitational wave physics
Render Jupyter Notebooks With Metaflow Cards
Showcase of MLflow capabilities
Main python package for deploying and managing machine learning models in production
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