Machine Learning REPA

git-101 - Example - Git workflow Forks

Machine Learning REPA

git-101 - Git workflow Forks

Machine Learning REPA

git-101 - Example - Git workflow Remote

Machine Learning REPA

git-101 - Git Workflow Remote

Machine Learning REPA

git-101 - Example - Basic Git command

Machine Learning REPA

git-101 - Basic Git commands

Machine Learning REPA

git-101 - Command Line Interface (CLI) Get Started

Machine Learning REPA

git-101 - Git Get started

Machine Learning REPA

git-101 - Example - CLI Get Started

Machine Learning REPA

git-101 - Intro

Machine Learning REPA

git-101 - Introduction Git for Machine Learning and AI Development

Machine Learning REPA

Optimizing Image Segmentation Projects with DVC

Machine Learning REPA

Automated Deployment Pipelines Running CV Models at the Edge

Machine Learning REPA

Solving MLOps Combining popular open source tools to create a unified platform for ML Collaboration

Machine Learning REPA

Streamlit for ML projects Monitoring dashboards with Evidently

Machine Learning REPA

Get started with Data Versioning Control (DVC)

Machine Learning REPA

Ирина Голощапова. О продвинутой аналитке в Ленте

Machine Learning REPA

Иван Петров. Model Performance Monitoring - как сделать полезный мониторинг

Machine Learning REPA

Иван Аникин. FeatureStore - откуда берутся фичи для моделей

Machine Learning REPA

Максим Юрченко. Как структурировать зоопарк моделей в облаке

Machine Learning REPA

VCS repository structure for ML projects, Timur Dzhumakaev

Machine Learning REPA

Unifying MLOps with a Feature Stores and Model Deployment, Ben Epstein

Machine Learning REPA

Develop End To End Scalable ML Pipeline With Kubeflow, Ritaban Chowdhury

Machine Learning REPA

Automating Machine Learning with GitHub Actions & GitLab CI, Elle O'Brien

Machine Learning REPA

MLflow creating experiments and logging metrics, Elena Vilkova

Machine Learning REPA

Kubeflow pipelines for Object detection models on the edge, Imad Bekkouch

Machine Learning REPA

Better Code Quality for Data Science, Julia Antokhina

Machine Learning REPA

Security in Machine Learning Taxonomy and Applied Counterstrategies, Flavio Clesio

Machine Learning REPA

Writing reusable training pipelines for deep learning, Andrey Lukyanenko

Machine Learning REPA

From Jupyter Notebooks to Reproducible and Automated experiments with DVC, MikhailRozhkov

Machine Learning REPA