The Best Jupyterlab Extension That You Didn't Know Existed!
156.2 هزار بار بازدید -
2 سال پیش
-
👩🏻💻 Link extension (MakinaRocks) 👉
👩🏻💻 Link extension (MakinaRocks) 👉 https://bit.ly/3KDX0oW
📺 Link Demo Video 👉 MakinaRocks Link™ | Introduction Vide...
🔗 Git repo for this neural style transfer project 👉 https://github.com/thu-vu92/neural-st...
🤖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
Hey data nerds 👋, greetings from my hometown in Vietnam!! JupyterLab is a great tool for data science, but it has its own limitations.. big ones 😅.. Due to the fact that you can execute cells in different orders, it's easy to make mistakes and mess up the output. From my experience, it could be a big challenge to use JupyterLab in a complex data science project. In this video, I'm sharing with you about Link, a JupyterLab extension that helps us easily create pipelines in JupyterLab and share them with other people. This extension helps address the reproducibility issue of JupyterLab, and makes it easy to share results. While walking you through the how-to of this extension, I also tried to give a brief introduction to neural style transfer algorithm, which is what I implemented in this sample notebook.
Let me know what you think about this extension and whether you would consider using it in your projects. Thank you for watching and have a great day! 🤗
🔑 TIMESTAMPS
================================
0:00 - Intro
0:57 - Link extension for JupyterLab
2:25 - Installing Link
3:23 - Overview of the notebook & Neural style transfer algo.
5:24 - Creating pipeline using Link
10:20 - Final pipeline & exporting cache
10:47 - Additional functionalities
👩🏻💻 COURSES & RESOURCES
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv
🙋🏻♀️ LET'S CONNECT!
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🤓 Join my Discord server: Discord: discord
📩 Newsletter: https://thu-vu.ck.page/profile
✍ Medium: Medium: vuthihienthu.ueb
🔗 All links: https://linktr.ee/thuvuanalytics
As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you.
#Jupyterlab #machinelearning #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics
📺 Link Demo Video 👉 MakinaRocks Link™ | Introduction Vide...
🔗 Git repo for this neural style transfer project 👉 https://github.com/thu-vu92/neural-st...
🤖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
Hey data nerds 👋, greetings from my hometown in Vietnam!! JupyterLab is a great tool for data science, but it has its own limitations.. big ones 😅.. Due to the fact that you can execute cells in different orders, it's easy to make mistakes and mess up the output. From my experience, it could be a big challenge to use JupyterLab in a complex data science project. In this video, I'm sharing with you about Link, a JupyterLab extension that helps us easily create pipelines in JupyterLab and share them with other people. This extension helps address the reproducibility issue of JupyterLab, and makes it easy to share results. While walking you through the how-to of this extension, I also tried to give a brief introduction to neural style transfer algorithm, which is what I implemented in this sample notebook.
Let me know what you think about this extension and whether you would consider using it in your projects. Thank you for watching and have a great day! 🤗
🔑 TIMESTAMPS
================================
0:00 - Intro
0:57 - Link extension for JupyterLab
2:25 - Installing Link
3:23 - Overview of the notebook & Neural style transfer algo.
5:24 - Creating pipeline using Link
10:20 - Final pipeline & exporting cache
10:47 - Additional functionalities
👩🏻💻 COURSES & RESOURCES
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv
🙋🏻♀️ LET'S CONNECT!
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🤓 Join my Discord server: Discord: discord
📩 Newsletter: https://thu-vu.ck.page/profile
✍ Medium: Medium: vuthihienthu.ueb
🔗 All links: https://linktr.ee/thuvuanalytics
As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you.
#Jupyterlab #machinelearning #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics
2 سال پیش
در تاریخ 1401/06/14 منتشر شده
است.
156,248
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