mlrepa Goto Github PK

automate-ml-with-dvc

Example for ML REPA Week 2021 conference

catalyst-1-notebook-api

Catalyst tutorial #1. Notebook API

catalyst-2-config-api

Catalyst tutorial #2. Config API

dvc-1-get-started

dvc-2-data-versioning

Lesson 2 tutorial: Versioning Data and Model for the ML REPA School course: Machine Learning experiments reproducibility and engineering with DVC

dvc-2-iris-demo-project

Data Version Control (DVC) tutorial 2. Iris Demo Project

dvc-3-automate-experiments

Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions

dvc-7-monorepo

dvc-8-multiple-datasets

evidently-dvc

images-collection

meetups

Content for ML REPA MeetUps

mlflow-1-tracking

Basics of ML experiments metrics & artifacts tracking with MLflow

mlflow-models-deploy-docker

mlflow-server

mlpanel

ML Project control panel

mlpanel-demo

mlpanel-examples

mlpanel-ui

UI

mlrepa-library

ML REPA Library: MLOps and ML Engineering Solutions for Success

project-1-git

This tutorial provides an introduction to Git, including its basic concepts, benefits, and how it can be used for version control in Machine Learning projects.

sklearn_deploy_service

touchless

"Touchless" is a Python library for creating spatial interfaces without physical contact, using gestures, eye tracking, and voice commands. It enables developers to build immersive 3D UIs for VR/AR and beyond, with advanced gesture and voice recognition technology.

wrk_bin_clf_base1