Decenteralized AI training platform for all
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Updated
Feb 1, 2024 - Python
Decenteralized AI training platform for all
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
Deep learning inference-as-a-service tools and pipelines for gravitational wave physics
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
Main python package for deploying and managing machine learning models in production
Showcase of MLflow capabilities
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
A SageMaker-based ML system solution
Example ML projects that use the Determined library.
RFlow - A workflow framework for agile machine learning
Kubeflow blog based on fastpages
Sample notebooks that use the Openlayer Python API
Render Jupyter Notebooks With Metaflow Cards
A tool for training models to Vertex on Google Cloud Platform.
A standalone inference server for trained Rubix ML estimators.
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.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Run GPU inference and training jobs on serverless infrastructure that scales with you.
🚀 Metadata tracking and UI service for Metaflow!
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