Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Looks cool. Also sounds like it would fit will with the 99 ML Projects repo. Maybe you could contribute here https://github.com/gimseng/99-ML-Learning-Projects
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
The Transformer in Machine Translation
1 project | reddit.com/r/MindSporeOSS | 13 Jan 2022
1 project | news.ycombinator.com | 4 Jan 2022
Introduce AID - A system that helps you run machine learning models
2 projects | dev.to | 13 Sep 2021
Show HN: Aid – System for quickly installing and running machine learning models
1 project | news.ycombinator.com | 8 Sep 2021
A new tool that I created for running machine learning algorithms more easily
1 project | reddit.com/r/mlops | 7 Sep 2021