The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A playbook for systematically maximizing the performance of deep learning models.

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

A toolbox to iNNvestigate neural networks' predictions!

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A toolkit for developing and comparing reinforcement learning algorithms.

Benchmarks for popular CNN models

A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

Design of experiments for Python

Introduction to Uncertainty Quantification

Data Assimilation with Python: a Package for Experimental Research