What does HackerNews think of fastai?

The fastai deep learning library

Language: Jupyter Notebook

#23 in Deep learning
#26 in Machine learning
#3 in Jupyter Notebook
#124 in Python
Fast.ai starts a corporate partnership program | Jan 2023
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.

People tricking ChatGPT “like watching an Asimov novel come to life” | Dec 2022
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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.
Practical Deep Learning for Coders 2019 | Jan 2019
The thing that separates fastai course from other courses is the use of fastai library (built on top of pytorch). fastai library makes it dead simple to train neural network faster and with more accuracy.

Write a neural network is easy. But tweaking hyper parameters takes lot of time and knowledge. fastai library implements cyclical learning rates which varies the learning rate during training along with some other defaults for other hyperparameters.

https://github.com/fastai/fastai

Fastai for PyTorch: Fast and accurate neural nets using modern best practices | Oct 2018
Jeremy from fast.ai here - I'm sitting here at the PyTorch developer conference, listening to all the really great new stuff being announced. :) Happy to answer any questions about the fastai library release here. It's a rewrite from scratch compared to v0.7.

Docs here: http://docs.fast.ai . GitHub repo here: https://github.com/fastai/fastai . It's also available now on Google Cloud Platform, including example notebooks and datasets (Viacheslav Kovalevskyi from Google has posted a walk-thru here: https://blog.kovalevskyi.com/google-compute-engine-now-has-i... ). AWS support coming soon.