A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The fastai book, published as Jupyter Notebooks

A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.

A collection of notebook to learn the Applied Predictive Modeling using Python.

CReM: chemically reasonable mutations framework

ML models to convert molecules to ESI mass spectra and maybe back again