Editors

• Spellchecker - Spellchecker for markdown cells
• LaTeX - An extension for JupyterLab which allows for live-editing of LaTeX documents.
• DrawIO - An extension to draw diagrams in JupyterLab.
• Collapsable Headings - Allows to collapse an entire group

A curated list of references to awesome OCaml tools, frameworks, libraries and articles. Additionally there is a collection of freely available books, papers and presentations.

Chrome v8

Basic

• v8 github mirror(docs within)[github]
• on-stack replacement in v8[article] // multiple articles can be found within
• A tour of V8: Garbage Collection[article]
• A tour of

Random Forest - a curated list of resources regarding tree-based methods and more, including but not limited to random forest, bagging and boosting.

Contributing

Please feel free to pull requests.

The project is not actively maintained.

This is a rough list of my favorite deep learning resources. It has been useful to me for learning how to do deep learning, I use it for revisiting topics or for reference. I (Guillaume Chevalier) have built this list and got through all of the content listed here, carefully.

Key materials

• How to use MobX with Create React App:
  • Without ejecting, by using react-app-rewired
  • Or, with ejecting and adjusting config
• MobX 6 starter - with mobx-persist-store & without decorators 

A curated list of awesome, free machine learning and artificial intelligence courses with video lectures. All courses are available as high-quality video lectures by some of the best AI researchers and teachers on this planet.

Besides the video lectures, I linked course websites with lecture notes, additional readings and assignments.

A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.

A curated list of awesome console services (reachable via HTTP, HTTPS and other network protocols). Structured data of the list (kept in sync) is in structured.yaml.

The table of content is generated with doctoc. Make sure you run it and update the table of content before making pull requests.