Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
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Updated
Aug 4, 2023
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
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.
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
Showcase of MLflow capabilities
Main python package for deploying and managing machine learning models in production
cluster/scheduler health monitoring for GPU jobs on k8s
RFlow - A workflow framework for agile machine learning
Decenteralized AI training platform for all
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
Example ML projects that use the Determined library.
Render Jupyter Notebooks With Metaflow Cards
A SageMaker-based ML system solution
Deep learning inference-as-a-service tools and pipelines for gravitational wave physics
A tool for training models to Vertex on Google Cloud Platform.
A standalone inference server for trained Rubix ML estimators.
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
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Run GPU inference and training jobs on serverless infrastructure that scales with you.
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