A Tools that help Data Scientists and ML engineers train and deploy ML models.

Last update: Oct 17, 2022

Overview

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 - deploy directly from your registry, turning it into a declarative source of truth for your model hosting.
🛂 Checkpoint - adds 'Pull Requests' to your registry to create a better process for promoting models to production.
🎇 Flare - monitor models and get alerts without capturing, storing or processing production inference data.

Owner

Domino Data Lab

GitHub Repository

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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PyHarmonize: Adding harmony lines to recorded melodies in Python

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Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )

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Xeasy-ml is a packaged machine learning framework.

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A Python step-by-step primer for Machine Learning and Optimization

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