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

Simple Machine Learning Tool Kit

Getting started smltk (Simple Machine Learning Tool Kit) package is implemented for helping your work during data preparation testing your model The g

1 Dec 30, 2021

ML Optimizers from scratch using JAX

Toy implementations of some popular ML optimizers using Python/JAX

38 Jul 29, 2022

A data preprocessing and feature engineering script for a machine learning pipeline is prepared.

FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is

7 Dec 18, 2021

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

1.3k Jan 06, 2023

Turning images into '9-pan' palettes using KMeans clustering from sklearn.

img2palette Turning images into '9-pan' palettes using KMeans clustering from sklearn. Requirements We require: Pillow, for opening and processing ima

2 Jan 01, 2022

My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to

1 Oct 28, 2021

Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches

Self Supervised clusterer Combined IIC, and Moco architectures, with some SimCLR notions, to get state of the art unsupervised clustering while retain

9 Feb 13, 2022

Forecast dynamically at scale with this unique package. pip install scalecast

🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels

158 Jan 03, 2023

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

1 Jan 31, 2022

MLOps pipeline project using Amazon SageMaker Pipelines

This project shows steps to build an end to end MLOps architecture that covers data prep, model training, realtime and batch inference, build model registry, track lineage of artifacts and model drif

3 Sep 16, 2022

A machine learning model for Covid case prediction

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

1 Feb 02, 2022

QML: A Python Toolkit for Quantum Machine Learning

QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids.

176 Dec 09, 2022

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo

354 Dec 31, 2022