Credit: This a fork from the orignal fastai course repo from 2018. We decided to drop the history to make the repo minimal since we'll only be working on a very small part of the original codebase, working with the repository is currently expensive (thanks Ravi for the suggestion) (even when using a shallow clone) due to the large number of commits.
What is this?
This is a fork of the incredible fastai ML Course taught in 2018.
What is fastai-remastered?
This is repo is part of the fast-ml course that's being prepared by the W&B Community. As of now, it's a simple remaster of the ML course from fastai. In the future, we plan to add more utilities and features supporitng different frameworks and teaching you about boosted algorithms.
Credit:
Note: The contributing group sincerely thanks the fastai team, we do not claim authorship of this work. As of now, This is a simple WIP, re-write of the fastai ML course.
Contributors: Since I decided to drop the older repo we were working on, I want to thank Bikash Patra, Aadil Srivastava, Ravi Masru and Durga Kumar for contributions to the older repository.