lego-mindstorms VS fastai

I use Python for programming the 51515 and in my experience, the best place to share code for projects is GitHub. You can take a look at my LEGO MINDSTORMS repo right here. A quick search in the site also shows other repositories. Since it is a relatively new product, its user base isn't as large as others (e.g., EV3 one) is, but I expect it to grow fast in the short future.

You can find the code for it here and a little video showing the functionality here.

You can see pictures of my boxes here

I thought the same. However, there is actually a way, although it is a bit more hidden and it isn't defined in the official documentation. In short, you can access that functionality not through MSHub, but through hub. Take a look at the example mshub_vs_hub, where I explain it in more detail. (If that link doesn't work, try this one then).

We are going to use fast.ai to create a simple classification which predicts whether a given image is a cat or not.

[(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tduf4kyv9ezy5oz60pk1.png)](https://github.com/fastai/fastai)

I'd say the fastai library itself[0] is a pretty good example of how maintainable/scalable practices can come to life in notebook flows. There's something to be said IMO for an active project with 25.8k stars, 238 contributers, 2.7k commits, and 199 open vs 1.5k closed issues.

[0] https://github.com/fastai/fastai/

Jeremy Howard's YouTube Channel - Jeremy maintains the fastai library, which is an excellent package that will help anyone build complicated ML architectures in minimum time. His YouTube Channel has a number of free courses which do an amazing job of covering a variety of ML topics, and he also maintains a very active forum for people studying ML.

To create the AI we will use fastai. This is a python library, which is build on top of pytorch. No worries, you don't need to know how to code python. We will learn how this stuff works along the way :)

You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).

fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.

The "fastai" course is free, and does a really nice job walking you through building simple neural nets from the ground up:

https://github.com/fastai/fastai

What's going on here is the exact same thing, just much, much larger.

Development NB: https://github.com/fastai/fastai/blob/master/nbs/09_vision.augment.ipynb

There is already a ton of momentum around automating ML workflows. I would suggest you contribute to a preexisting project like, for instance, PyTorch Lightning or fast.ai.