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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 2 months 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 (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-14T17:49:25.000Z (almost 3 years ago)
- Last Synced: 2024-02-16T00:59:11.702Z (11 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
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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.