Is 365-Days-Computer-Vision-Learning-Linkedin-Post open source?

Yes — ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post is an open-source project tracked on heatdrop.

How popular is 365-Days-Computer-Vision-Learning-Linkedin-Post?

ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post has 827 stars on GitHub.

Where can I find 365-Days-Computer-Vision-Learning-Linkedin-Post?

ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post is on GitHub at https://github.com/ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post.

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ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post

Cataloguing a Year of Computer Vision, One LinkedIn Post at a Time

A curated index that maps 365 days of computer vision topics to daily LinkedIn posts, turning a social feed into a self-paced survey course.

★827 stars Learning Computer Vision

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365-Days-Computer-Vision-Learning-Linkedin-Post

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What it does This repository is essentially a public table of contents for a year-long LinkedIn learning series. Each row pairs a day number with a specific computer vision paper, architecture, or concept—from EfficientDet and Vision Transformer to medical variants like V-Net for COVID-19—and provides a short link to the corresponding social media post. It functions as a lightweight, star-rated reading list rather than a software project.

The interesting bit The scope is deliberately encyclopedic, mixing canonical detection and segmentation architectures with obscure augmentation tricks and 3D medical imaging variants in a single linear progression. Using LinkedIn as the publishing layer for what amounts to a self-directed graduate seminar in computer vision is an unexpected platform choice.

Key highlights

Covers hundreds of distinct topics spanning detection, segmentation, transformers, super-resolution, and medical imaging.
Organized as a strict chronological table (Day 1 through Day 365) with bit.ly links to daily posts.
Serves as a curated reference index; the repository itself has accumulated over 800 stars.
Includes a promotional poster.gif illustrating the series.
Topics range from mainstream (YOLO, ResNet, Swin Transformer) to highly specialized (Dense-Gated U-Net, 3D Super Resolution).

Caveats

This is a pure link directory: there is no local code, implementation, or summary text for any of the 365 topics.
The README gives no hint about the depth or format of each LinkedIn post—whether it is a summary, diagram, or brief opinion.

Verdict Worth bookmarking if you want a disciplined, topic-a-day reading list for computer vision trends and do not mind consuming it through LinkedIn. Skip it if you are hunting for executable code, datasets, or detailed technical write-ups.

Frequently asked

What is ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post?: A curated index that maps 365 days of computer vision topics to daily LinkedIn posts, turning a social feed into a self-paced survey course.
Is 365-Days-Computer-Vision-Learning-Linkedin-Post open source?: Yes — ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post is an open-source project tracked on heatdrop.
How popular is 365-Days-Computer-Vision-Learning-Linkedin-Post?: ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post has 827 stars on GitHub.
Where can I find 365-Days-Computer-Vision-Learning-Linkedin-Post?: ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post is on GitHub at https://github.com/ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post.