Machine Learning REPA

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Open a community to spread good practices in MLOps, Engineering, Reproducibility, and Automation

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git-101 - Example - Git workflow: Forks

git-101 - Example - Git workflow: Forks Machine Learning REPA

424 views - 2 years ago

git-101 - Git workflow: Forks

git-101 - Git workflow: Forks Machine Learning REPA

122 views - 2 years ago

git-101 - Example - Git workflow: Remote

git-101 - Example - Git workflow: Remote Machine Learning REPA

57 views - 2 years ago

git-101 - Git Workflow: Remote

git-101 - Git Workflow: Remote Machine Learning REPA

63 views - 2 years ago

git-101 - Example - Basic Git command

git-101 - Example - Basic Git command Machine Learning REPA

55 views - 2 years ago

git-101 - Basic Git commands

git-101 - Basic Git commands Machine Learning REPA

75 views - 2 years ago

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

git-101 - Command Line Interface (CLI): Get Started Machine Learning REPA

115 views - 2 years ago

git-101 - Git: Get started

git-101 - Git: Get started Machine Learning REPA

46 views - 2 years ago

git-101 - Example - CLI: Get Started

git-101 - Example - CLI: Get Started Machine Learning REPA

89 views - 2 years ago

git-101 - Intro

git-101 - Intro Machine Learning REPA

27 views - 2 years ago

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

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

321 views - 2 years ago

Optimizing Image Segmentation Projects with DVC

Optimizing Image Segmentation Projects with DVC Machine Learning REPA

603 views - 2 years ago

Automated Deployment Pipelines: Running CV Models at the Edge

Automated Deployment Pipelines: Running CV Models at the Edge Machine Learning REPA

288 views - 2 years ago

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

Solving MLOps: Combining popular open source tools to create a unified platform for ML Collaboration Machine Learning REPA

337 views - 2 years ago

Streamlit for ML projects: Monitoring dashboards with Evidently

Streamlit for ML projects: Monitoring dashboards with Evidently Machine Learning REPA

1.2K views - 2 years ago

Get started with Data Versioning Control (DVC)

Get started with Data Versioning Control (DVC) Machine Learning REPA

918 views - 2 years ago

Ирина Голощапова. О продвинутой аналитке в Ленте

Ирина Голощапова. О продвинутой аналитке в Ленте Machine Learning REPA

242 views - 4 years ago

Иван Петров. Model Performance Monitoring - как сделать полезный мониторинг

Иван Петров. Model Performance Monitoring - как сделать полезный мониторинг Machine Learning REPA

401 views - 4 years ago

Иван Аникин. FeatureStore - откуда берутся фичи для моделей

Иван Аникин. FeatureStore - откуда берутся фичи для моделей Machine Learning REPA

487 views - 4 years ago

Максим Юрченко. Как структурировать зоопарк моделей в облаке

Максим Юрченко. Как структурировать зоопарк моделей в облаке Machine Learning REPA

118 views - 4 years ago

VCS repository structure for ML projects, Timur Dzhumakaev

VCS repository structure for ML projects, Timur Dzhumakaev Machine Learning REPA

236 views - 4 years ago

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

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

353 views - 4 years ago

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

Develop End To End Scalable ML Pipeline With Kubeflow, Ritaban Chowdhury Machine Learning REPA

951 views - 4 years ago

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

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

1.1K views - 4 years ago

MLflow: creating experiments and logging metrics, Elena Vilkova

MLflow: creating experiments and logging metrics, Elena Vilkova Machine Learning REPA

5.3K views - 4 years ago

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

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

1.1K views - 4 years ago

Better Code Quality for Data Science, Julia Antokhina

Better Code Quality for Data Science, Julia Antokhina Machine Learning REPA

191 views - 4 years ago

Security in Machine Learning: Taxonomy and Applied Counterstrategies, Flavio Clesio

Security in Machine Learning: Taxonomy and Applied Counterstrategies, Flavio Clesio Machine Learning REPA

91 views - 4 years ago

Writing reusable training pipelines for deep learning, Andrey Lukyanenko

Writing reusable training pipelines for deep learning, Andrey Lukyanenko Machine Learning REPA

342 views - 4 years ago

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

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

836 views - 4 years ago

Flyte: Accelerate your ML and Data Workflows to production, Katrina Rogan & Yee Tong

Flyte: Accelerate your ML and Data Workflows to production, Katrina Rogan & Yee Tong Machine Learning REPA

972 views - 4 years ago

Reproducibility of ML solutions in seismic interpretation project, Alexey Kozhevin

Reproducibility of ML solutions in seismic interpretation project, Alexey Kozhevin Machine Learning REPA

166 views - 4 years ago

MLOps and AutoML in Cloud-Native Way with Kubeflow and Katib, Andrey Velichkevich

MLOps and AutoML in Cloud-Native Way with Kubeflow and Katib, Andrey Velichkevich Machine Learning REPA

1.4K views - 4 years ago

Evolutionary automation of ML pipelines with FEDOT Framework, Nikitin Nikolay

Evolutionary automation of ML pipelines with FEDOT Framework, Nikitin Nikolay Machine Learning REPA

341 views - 4 years ago

Moving from prototype to production, Alexander Mokryak

Moving from prototype to production, Alexander Mokryak Machine Learning REPA

127 views - 4 years ago

Building ML Pipelines with Dagster: The role of the orchestrator in machine learning, Sandy Ryza

Building ML Pipelines with Dagster: The role of the orchestrator in machine learning, Sandy Ryza Machine Learning REPA

2.9K views - 4 years ago

Eliminate technical debt with iterative ML pipelines, Hamza Tahir

Eliminate technical debt with iterative ML pipelines, Hamza Tahir Machine Learning REPA

392 views - 4 years ago

Workflow & MLOps for batch scoring applications with DVC, MLflow and Airflow, Mikhail Rozhkov

Workflow & MLOps for batch scoring applications with DVC, MLflow and Airflow, Mikhail Rozhkov Machine Learning REPA

5.3K views - 4 years ago

DVC: data versioning and ML experiments on top of Git, Dmitry Petrov

DVC: data versioning and ML experiments on top of Git, Dmitry Petrov Machine Learning REPA

672 views - 4 years ago

How to create your MLOps environment following best practices, MOHAMED SABRI

How to create your MLOps environment following best practices, MOHAMED SABRI Machine Learning REPA

502 views - 4 years ago

Reducing the distance between Prototyping and Production, Soumanta Das

Reducing the distance between Prototyping and Production, Soumanta Das Machine Learning REPA

131 views - 4 years ago

Get Started with Machine Learning REPA Week 2021 platform

Get Started with Machine Learning REPA Week 2021 platform Machine Learning REPA

621 views - 4 years ago

Поздравление ML REPA c наступающим Новым Годом!!!

Поздравление ML REPA c наступающим Новым Годом!!! Machine Learning REPA

95 views - 5 years ago

Интервью с Эмели Драль о своем пути, Москве и любви к архитектуре

Интервью с Эмели Драль о своем пути, Москве и любви к архитектуре Machine Learning REPA

3.6K views - 5 years ago