Since images are large, they bring the following challenges:
- keeping images in the main Git repository with text content makes the repository huge and slow to clone, and should not be done
- storing and serving images could cost us, which we want to avoid
To solve those problems, the following alternatives appear to be stable enough and should be used decreasing preference:
- for all images, use the separate GitHub repository: github.com/cirosantilli/mediaThis way, the entire website is relies on a single third party: GitHub, so we have a simple single point of failure.We are at the mercy of GitHub's 1GB size policy: help.github.com/en/articles/what-is-my-disk-quota, but it will take a while to hit that.GitLab however has a 10Gb maximum size: about.gitlab.com/2015/04/08/gitlab-dot-com-storage-limit-raised-to-10gb-per-repo/ so we could move there is we ever blow up 1Gb on GitHub.Both GitLab and GitHub allow uploading files through the web UI, so downloading a large repo is never needed to contribute.GitHub does not serve videos like it does images however as of 2019.
- Wikimedia Commons for videos if the following conditions are met:
- in scope: "educational material in a broad sense", but not e.g. "Private image collections, e.g. private party photos, photos of yourself and your friends, your collection of holiday snaps and so on.". I don't think they will be too picky even with low quality photos.
- allowed format, e.g. images or videos, but not ZIPs
- allowed license: CC BY SA, but no fair use
Since Wikimedia Commons has a higher level of curation and is an educational not-for-profit, it is the method most likely to remain available for the longest time.For this reason, we highly recommend uploading any acceptable files there as well as an additional backup.The downside is that its tooling is not as good, e.g. there are a bunch of messy unofficial tools for batch operations, and upload takes more effort.Another downside of Wikimedia Commons is that while we can choose the basename of files, it also adds some extra SHA crap to the beginning of URLs, making them harder to predict.Another serious downside is that they randomly rename images without redirects... e.g. they renamed upload.wikimedia.org/wikipedia/en/0/03/STJ_SVG_file.svg to upload.wikimedia.org/wikipedia/commons/8/81/Superconducting_tunnel_junction.svgAnother "downside" is that they are extremely strict about copyright compliance. This is good because you can be pretty sure that they are correct in general, but it also means that they are very conservative, and delete things where fair use would be OK. And if those fair uses have no Wikipedia page, they won't show up anywhere. - archive.org for anything else, e.g. videos that Wikimedia commons does not accept.All content will be tracked under the
cirosantillicollection: archive.org/details/cirosantilliarchive.org has a very convenient upload and lax requirements. The generated URLs are predictable (single SHA prefix for the entire collection).Never trust a website that is not on GitHub Pages, for-profit companies will take down everything immediately as soon as it stops making them money.Every external link to non-GitHub pages must be archived. And GitHub links must be forked.We should also backup images that Wikimedia Commons does not accept here in addition to the github.com/cirosantilli/media repository.
The following alternatives seem impossible because Ciro could not find if they expose direct links to the images:
The following do have direct links:
- www.flickr.com e.g. live.staticflickr.com/7437/27402357162_7d91b73cd5_z.jpg documented at help.flickr.com/en_us/get-the-url-of-a-flickr-photo-S1Hnnmjym Also does automatic image size conversion. But only provides ugly autogenerated URLs.
- Instagram does not support upload from computer? Lol?
For videos, YouTube does not allow download, even of Creative Commons videos so uploading only there is not acceptable as it prevents reuse:
CNN convolution kernels are also learnt by 
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01CNN convolution kernels are not hardcoded. They are learnt and optimized via backpropagation. You just specify their size! Example in PyTorch you'd do just:as used for example at: activatedgeek/LeNet-5.
nn.Conv2d(1, 6, kernel_size=(5, 5))This can also be inferred from: stackoverflow.com/questions/55594969/how-to-visualise-filters-in-a-cnn-with-pytorch where we see that the kernels are not perfectly regular as you'd expected from something hand coded.
activatedgeek/LeNet-5 use ONNX for inference by Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01
Number 9 drawn with mouse on GIMP by Ciro Santilli (2023)
Note that:
- the images must be drawn with white on black. If you use black on white, it the accuracy becomes terrible. This is a good very example of brittleness in AI systems!
- images must be converted to 32x32 for
lenet.onnx, as that is what training was done on. The training step converted the 28x28 images to 32x32 as the first thing it does before training even starts
We can try the code adapted from thenewstack.io/tutorial-using-a-pre-trained-onnx-model-for-inferencing/ at lenet/infer.py:and it works pretty well! The program outputs:as desired.
cd lenet
cp ~/git/LeNet-5/lenet.onnx .
wget -O 9.png https://raw.githubusercontent.com/cirosantilli/media/master/Digit_9_hand_drawn_by_Ciro_Santilli_on_GIMP_with_mouse_white_on_black.png
./infer.py 9.png9We can also try with images directly from Extract MNIST images.and the accuracy is great as expected.
infer_mnist.py lenet.onnx mnist_png/out/testing/1/*.png Why Ciro Santilli refers to himself in the third person by Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01Because when this gets converted to a OurBigBook.com page, it will be easier for people to copy paragraphs/fork and write a canonical page about Ciro.
What do you do when creating a pull request? Do you say "I", which is not true because Ciro did not say that, or do you say "John Doe thinks" bla bla?
And because his name is awesome! :-) Just kidding.
This became a micro-meme in 4chan:Correction: cirosantilli.com is not Ciro Santili's resume. It is your life.
- 2020-09-21 archive.vn/wip/Zz7fx (original) "ITT: weird sites you found by accident" a comment reads:
cirosantilli.com/ this is some guys resume who repeats his own name well over 1,000 times.
- 2020-04-30 archive.is/LgDbK (original) "Interesting Website thread" a comment reads:cirosantilli.com/ What is even this?"a guy who says his name over 500 times in his resume."
Version of TensorFlow with a Cirq backend that can run in either quantum computers or classical computer simulations, with the goal of potentially speeding up deep learning applications on a quantum computer some day.
A fancy name for astronomy ;-)
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivative - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.
Figure 3. Visual Studio Code extension installation.
Figure 4. Visual Studio Code extension tree navigation.
Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Internal cross file references done right:
- Infinitely deep tables of contents:
Figure 6. Dynamic article tree with infinitely deep table of contents.Live URL: ourbigbook.com/cirosantilli/chordateDescendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact