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Mini machine learning library centered around optimizing a cost function specified as a computation graph. Optimization is done by computing partial derivatives by repetitive application of the chain rule. Hence the name.
Originally created while taking coursera's deeplearning.ai class but I wanted a more "from scratch", "generic" and advanced implementation of the course exercices.
- Free software: MIT license
- Documentation: https://chains.readthedocs.io.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.