https://github.com/dominodatalab/domino-research

Projects developed by Domino's R&D team
https://github.com/dominodatalab/domino-research

data-science mlflow mlops python sagemaker

Last synced: about 1 month ago
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Projects developed by Domino's R&D team

• Host: GitHub
• URL: https://github.com/dominodatalab/domino-research
• Owner: dominodatalab
• License: apache-2.0
• Created: 2021-08-03T17:01:19.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-14T17:49:25.000Z (over 2 years ago)
• Last Synced: 2024-02-16T00:59:11.702Z (7 months ago)
• Topics: data-science, mlflow, mlops, python, sagemaker
• Language: Python
• Homepage:
• Size: 1.52 MB
• Stars: 76
• Watchers: 6
• Forks: 8
• Open Issues: 24
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codeowners: CODEOWNERS

Awesome Lists containing this project

• jimsghstars - dominodatalab/domino-research - Projects developed by Domino's R&D team (Python)

README

        
# Domino Research

This repo contains projects under active development by the Domino R&D team.

We build tools that help Data Scientists and ML engineers train and deploy ML models.

## Active Projects

Here’s what we’re working on:

- :bridge_at_night: [Bridge](https://github.com/dominodatalab/domino-research/tree/main/bridge) - deploy directly from your registry, turning it into a declarative source of truth for your model hosting.

- :passport_control: [Checkpoint](https://github.com/dominodatalab/domino-research/tree/main/checkpoint) - adds 'Pull Requests' to your registry to create a better process for promoting models to production.

- :sparkler: [Flare](https://github.com/dominodatalab/domino-research/tree/main/flare) - monitor models and get alerts without capturing, storing or processing production inference data.