ConvNeXt VS GMAIL_TO_EXCEL_KEYWORD_SENDER_LIST

Excited to share a python package that I've released (working on it for a while now): git: https://github.com/sashank-tirumala/yaml_config_override pypi: https://pypi.org/project/yaml-config-override/ The idea is simple, often you need to write hundred lines of 'argparse' code for deep learning and machine learning projects (example). To avoid that we create config files (yaml) but then there are times when you just want to overwrite the config values with 'argparse'. This package automates that process. It automatically adds command line arguments from config file definitions and then also overwrites config file arguments with your command line arguments. So for example:

Found relevant code at https://github.com/facebookresearch/ConvNeXt + all code implementations here

Have you considered using monitor services such as Wandb? https://github.com/facebookresearch/ConvNeXt provides the code for distributed training, which you can refer to. It is a big tricky to make it work when using distributed training, but obviously it is better than regularly checking progress.

The ConvNeXt code is available on the project’s GitHub. The paper A ConvNet for the 2020s is on arXiv.

The ConvNeXt code is available on the project’s GitHub. The paper A ConvNet for the 2020s is on arXiv.

Code: https://github.com/facebookresearch/ConvNeXt

I would like to get this onto a website for anyone to use. I know nothing. What problems do you foresee?

Can you please check out my code and tell me if it applicable

trying to use GitHub correctly