ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
-
Updated
Apr 29, 2020 - Python
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
RFlow - A workflow framework for agile machine learning
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
Render Jupyter Notebooks With Metaflow Cards
A SageMaker-based ML system solution
A Collection of GitHub Actions That Facilitate MLOps
Utilities for preprocessing text for deep learning with Keras
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
A tool for training models to Vertex on Google Cloud Platform.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Decenteralized AI training platform for all
A standalone inference server for trained Rubix ML estimators.
Efficient Deep Learning Systems course materials (HSE, YSDA)
Sample notebooks that use the Openlayer Python API
Example ML projects that use the Determined library.
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.
Add a description, image, and links to the ml-infrastructure topic page so that developers can more easily learn about it.
To associate your repository with the ml-infrastructure topic, visit your repo's landing page and select "manage topics."