A tidy library for gradient-based optimization
Project description
TidyGrad
TidyGrad | Documentation | Discord
A tidy library for gradient-based optimization
Install
pip install -e tidygrad
Dev
pip install -e .[dev] # Local install with dev dependencies
- Hack
- Hack
- Hack
- (edit and run the notebooks in the
./nbs
directory).
nbdev_prepare
nbdev_prepare
will:
- Export all norebooks into the
./tidygrad
directory.- Note: the notebooks themselves have an export cell, so they are exported every time you run them.
- Run all notebooks (equivalent of testing)
- Generate REDME.md from the index.ipynb
- Generate the docs
How to use
# Later
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