DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

High-Performance Symbolic Regression in Python and Julia

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

Python implementation of the NEAT neuroevolution algorithm

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

Event datasets and transforms.

A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA

Some methods for comparing network representations in deep learning and neuroscience.

Python toolbox for nonnegative matrix factorization

Hands-on Neuroevolution with Python, Published by Packt

Path Finding Course Material

Python code to find Shapley Value of a Characteristic Form Game

flood fill a 2D map to create a Dijkstra map (distance map or field)

Correlated Spike Trains Python class