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…

Trophic Analysis Toolbox

TReND school in Comp Neuro and ML

High-Performance Symbolic Regression in Python and Julia

Path Finding Course Material

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

Neuroscience for machine learners course

Hands-on Neuroevolution with Python, Published by Packt

Python implementation of the NEAT neuroevolution algorithm

Correlated Spike Trains Python class

Event datasets and transforms.

MyST markdown paper template with actions

a random dot kinematogram (RDK) implemented with PyGame

FramebyFrame R package

Reading list for research topics in multimodal machine learning

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

A python package that includes many methods for decoding neural activity

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

Python toolbox for nonnegative matrix factorization

Training spiking neural networks for sound localization

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

Cosyne workshop tutorial 2022

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

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

Python code to find Shapley Value of a Characteristic Form Game

Example of GPU-accelerated machine learning on the RCS compute cluster using Jupyter and conda

Tutorial for surrogate gradient learning in spiking neural networks