- Видео 44
- Просмотров 29 668
Machine Learning REPA
США
Добавлен 20 дек 2020
Open a community to spread good practices in MLOps, Engineering, Reproducibility, and Automation
git-101 - Example - Git workflow: Forks
🎓 *Enroll in "Git for Machine Learning and AI Development"*
Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀
🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges.
🔸 Gain hands-on experience with Git commands and best practices for ML and AI development.
🔸 Unlock the power of CLI, GitHub, and GitLab in your ML journey.
🔸 Create a reusable template for ML & AI projects
Join our course and take your ML and AI projects to the next level!
Enroll now at *school.mlrepa.org/* 🎯👨💻
ML REPA School | Empowering ML Engineers 🎓🚀
#mlrepa #mlrepaschool #mlops #git #community #course #machinelearning #ai
Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀
🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges.
🔸 Gain hands-on experience with Git commands and best practices for ML and AI development.
🔸 Unlock the power of CLI, GitHub, and GitLab in your ML journey.
🔸 Create a reusable template for ML & AI projects
Join our course and take your ML and AI projects to the next level!
Enroll now at *school.mlrepa.org/* 🎯👨💻
ML REPA School | Empowering ML Engineers 🎓🚀
#mlrepa #mlrepaschool #mlops #git #community #course #machinelearning #ai
Просмотров: 179
Видео
git-101 - Git workflow: Forks
Просмотров 58Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Example - Git workflow: Remote
Просмотров 43Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Git Workflow: Remote
Просмотров 38Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Example - Basic Git command
Просмотров 47Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Basic Git commands
Просмотров 67Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Command Line Interface (CLI): Get Started
Просмотров 91Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Git: Get started
Просмотров 36Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Example - CLI: Get Started
Просмотров 82Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
git-101 - Intro
Просмотров 26Год назад
🎓 Enroll in "Git for Machine Learning and AI Development" Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML jou...
git-101 - Introduction: Git for Machine Learning and AI Development
Просмотров 159Год назад
🎓 *Enroll in "Git for Machine Learning and AI Development"* Master Git for code versioning, efficient collaboration, and reproducibility in ML and AI projects. 🚀 🔸 Learn the fundamental concepts of Git: repositories, commits, branches, and merges. 🔸 Gain hands-on experience with Git commands and best practices for ML and AI development. 🔸 Unlock the power of CLI, GitHub, and GitLab in your ML j...
Optimizing Image Segmentation Projects with DVC
Просмотров 308Год назад
Join the Machine Learning REPA community to learn and spread good practices in MLOps, Engineering, Reproducibility, and Automation! LinkedIn: www.linkedin.com/groups/9320089/ Events: mlrepa.eventbrite.com GitHub: github.com/mlrepa Twitter: mlrepa Together with Alex Kim, Solutions and Sales Engineer at Iterative.ai we discuss how DVC helps in Image Segmentation projects! Talk details...
Automated Deployment Pipelines: Running CV Models at the Edge
Просмотров 179Год назад
Join the Machine Learning REPA community to learn and spread good practices in MLOps, Engineering, Reproducibility, and Automation! LinkedIn: www.linkedin.com/groups/9320089/ Events: mlrepa.eventbrite.com GitHub: github.com/mlrepa Twitter: mlrepa Together with Bradley Munday, Head of ML Engineering at Modzy we discuss MLOps on Edge devices! Talk details: Computer vision has the pote...
Solving MLOps: Combining popular open source tools to create a unified platform for ML Collaboration
Просмотров 257Год назад
Join the Machine Learning REPA community to learn and spread good practices in MLOps, Engineering, Reproducibility, and Automation! LinkedIn: www.linkedin.com/groups/9320089/ Events: mlrepa.eventbrite.com GitHub: github.com/mlrepa Twitter: mlrepa Together with Dean Pleban, CEO at DagsHub (dagshub.com), we discuss approaches to “Combining popular open source tools to create a unified...
Streamlit for ML projects: Monitoring dashboards with Evidently
Просмотров 846Год назад
Join the Machine Learning REPA community to learn and spread good practices in MLOps, Engineering, Reproducibility, and Automation! LinkedIn: www.linkedin.com/groups/9320089/ Events: mlrepa.eventbrite.com GitHub: github.com/mlrepa Twitter: mlrepa Discover how to easily build sharable monitoring dashboards for your ML models, and improve your data quality with Evidently. Don't miss o...
Get started with Data Versioning Control (DVC)
Просмотров 580Год назад
Get started with Data Versioning Control (DVC)
Ирина Голощапова. О продвинутой аналитке в Ленте
Просмотров 2282 года назад
Ирина Голощапова. О продвинутой аналитке в Ленте
Иван Петров. Model Performance Monitoring - как сделать полезный мониторинг
Просмотров 3732 года назад
Иван Петров. Model Performance Monitoring - как сделать полезный мониторинг
Иван Аникин. FeatureStore - откуда берутся фичи для моделей
Просмотров 4072 года назад
Иван Аникин. FeatureStore - откуда берутся фичи для моделей
Максим Юрченко. Как структурировать зоопарк моделей в облаке
Просмотров 1152 года назад
Максим Юрченко. Как структурировать зоопарк моделей в облаке
VCS repository structure for ML projects, Timur Dzhumakaev
Просмотров 2243 года назад
VCS repository structure for ML projects, Timur Dzhumakaev
Unifying MLOps with a Feature Stores and Model Deployment, Ben Epstein
Просмотров 3003 года назад
Unifying MLOps with a Feature Stores and Model Deployment, Ben Epstein
Develop End To End Scalable ML Pipeline With Kubeflow, Ritaban Chowdhury
Просмотров 8253 года назад
Develop End To End Scalable ML Pipeline With Kubeflow, Ritaban Chowdhury
Automating Machine Learning with GitHub Actions & GitLab CI, Elle O'Brien
Просмотров 1 тыс.3 года назад
Automating Machine Learning with GitHub Actions & GitLab CI, Elle O'Brien
MLflow: creating experiments and logging metrics, Elena Vilkova
Просмотров 4,8 тыс.3 года назад
MLflow: creating experiments and logging metrics, Elena Vilkova
Kubeflow pipelines for Object detection models on the edge, Imad Bekkouch
Просмотров 9823 года назад
Kubeflow pipelines for Object detection models on the edge, Imad Bekkouch
Better Code Quality for Data Science, Julia Antokhina
Просмотров 1423 года назад
Better Code Quality for Data Science, Julia Antokhina
Security in Machine Learning: Taxonomy and Applied Counterstrategies, Flavio Clesio
Просмотров 683 года назад
Security in Machine Learning: Taxonomy and Applied Counterstrategies, Flavio Clesio
Writing reusable training pipelines for deep learning, Andrey Lukyanenko
Просмотров 2813 года назад
Writing reusable training pipelines for deep learning, Andrey Lukyanenko
From Jupyter Notebooks to Reproducible and Automated experiments with DVC, MikhailRozhkov
Просмотров 7983 года назад
From Jupyter Notebooks to Reproducible and Automated experiments with DVC, MikhailRozhkov
same question. how to access the notebook?
Fantastic talk, thorough but easy to understand. Appreciate the learning opportunity!
Thanks for your comment Adam!
English (Russian) яндекс не может перевести🤪 Потомки, напишите, если он-таки сможет!
Are the slides available anywhere?
43:38 You didn't save the params.yaml with changed params
How to get the code??
Hi guys, any chance i can access this git repo to view the code?
This is epic.
which dataset it is using for comparision?
It would be helpful to have the same video in English.
Founders at Work: истории основателей стартапов из Y Combinator 10+ историй на украинском - foundersatwork.io/ua 50+ историй на русском - foundersatwork.io/ru 200+ историй на английском - foundersatwork.io/en
Model versioning - Its possible in Flyte ?
Thank you Elena, it's very useful!
Thank you for sharing!
Thank you for sharing!
Can I ask for the source code of this section?
no you can't !!😛
Are you going to upload the recordings to this channel?
Hi, Asulym! Yes, we will upload all talks recordings to this channel. Probably next week
Чудесная(ые) девушка(и) . 40:36 Топ 3 курсов для изучения по мнению Эмели: 1. cs231n 2. fullstackdeeplearning.com/ 3. Что-то для души, архитектура, ИЗО, история :-)
Очень крутое видео! Многого не знала об Эмели, интересно!
палец вверх