There are 8 repositories under ml-infrastructure topic.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
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.
:rocket: Metadata tracking and UI service for Metaflow!
A Collection of GitHub Actions That Facilitate MLOps
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Run GPU inference and training jobs on serverless infrastructure that scales with you.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Example ML projects that use the Determined library.
A tool for training models to Vertex on Google Cloud Platform.
Render Jupyter Notebooks With Metaflow Cards
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
A SageMaker-based ML system solution
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
Showcase of MLflow capabilities
Main python package for deploying and managing machine learning models in production
Deep learning inference-as-a-service tools and pipelines for gravitational wave physics
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
Cira set in production
Python package that simplifies the creation of AWS infrastructure for simulating real-time data streaming and batch processing, ideal for integrating into machine learning projects.
Decenteralized AI training platform for all
Reference implementation for deploying ML models from notebooks to production
🤖 Access various AI models effortlessly with this unified PHP library, streamlining development through a consistent API and easy provider switching.
🔮 Cloud Broker is a web application that aggregates and displays GPU offers from different cloud providers (currently only AWS) to facilitate finding the best options for training artificial intelligence models. The application allows filtering offers by GPU type, provider, region, and price.