Closed shreydan closed 3 months ago
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Thanks a lot! mostly left nits. it'd be great for upcoming PRs to be atomic since it's hard to review multiple pages coming from different contributors repetitively iterating on them
Very sorry about that @merveenoyan !! We were just concerned about timelines, that we wouldn't get all of our individual changes merged in time. We realize this must have been super annoying to go through!
Please make sure to fix grammatical mistakes before merging.
Looks good to me 👍🏽 (granted noted grammatical correction occur)
Hi I am adding the reference for PR #218 where I added the mdx file for fine-tuning for object detection.
@shreydan @asusevski I think the table of contents is not up to date, can you merge the main of this repository into your branch? then we can merge
@merveenoyan merged and update table of contents! Thank you!
@asusevski can you approve so we can merge? I'll fix CI afterwards, the previously merged PR broke that
@asusevski @shreydan I fixed a bunch of LaTex errors and more, once they're merged, you can merge the main branch into this one and we can merge this one OR if you don't want to wait, feel free to incorporate following changes: https://github.com/johko/computer-vision-course/commit/8b410ff9b0210a0dbe86f540a040141f103e22c3 https://github.com/johko/computer-vision-course/commit/8b410ff9b0210a0dbe86f540a040141f103e22c3 https://github.com/johko/computer-vision-course/commit/bd5673b36b8b75a39e941a211ba10c023c349399 https://github.com/johko/computer-vision-course/commit/63cabaa80138bc3128b00163980576d58a19ce8f
@asusevski I fixed bunch of grammar errors and made the CI green, if you can approve we can merge
@asusevski had to solve merge conflict, sorry, can you approve again?
hello, this PR adds the following chapter content for Unit 3: Vision Transformers : Transfer Learning and Fine-Tuning
Contributions:
@asusevski
KnowledgeDistillation.mdx
KnowledgeDistillation.ipynb
: took a large part of the intro and moved it into the MDX so that the MDX for the chapter is a better introduction to the topic and the notebook is more succinctly focused on the example with code.@hanouticelina
Vision Transformers for Image Segmentation.mdx
@shreydan
Vision Transformers for Image Classification.mdx
@sezan92
Fine-tuning Vision Transformers for Object detection.ipynb
: included an additional section on transfer learning.@Anindyadeep
Fine-tuning Vision Transformers for Object Detection.ipynb
as per reviews.