🚀 Build and manage real-life ML, AI, and data science projects with ease!
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Updated
Aug 22, 2024 - Python
🚀 Build and manage real-life ML, AI, and data science projects with ease!
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ 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.
Efficient Deep Learning Systems course materials (HSE, YSDA)
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
A Collection of GitHub Actions That Facilitate MLOps
🚀 Metadata tracking and UI service for Metaflow!
Utilities for preprocessing text for deep learning with Keras
Run GPU inference and training jobs on serverless infrastructure that scales with you.
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 🌸
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
A standalone inference server for trained Rubix ML estimators.
cluster/scheduler health monitoring for GPU jobs on k8s
A tool for training models to Vertex on Google Cloud Platform.
Render Jupyter Notebooks With Metaflow Cards
Kubeflow blog based on fastpages
Example ML projects that use the Determined library.
RFlow - A workflow framework for agile machine learning
A SageMaker-based ML system solution
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