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acms-80770-deep-learning-with-graphs

Git repo for the course "Deep Learning with graph", Fall 2022, University of Notre Dame

brain-score

A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)

cc-licenses

Creative Commons Licenses for Github

feedbackandlocalplasticity

gsvae

Git repo for the paper "Physics-constrained predictive molecular latent space discovery with graph scattering variational autoencoder."

kymatio

Wavelet scattering transforms in Python with GPU acceleration

metalearnbiologicallyplausiblerules

Example code for: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network

mrcl

Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

nonnormal-init

Sequential non-normal initializers for recurrent neural networks

nri

Neural relational inference for interacting systems - pytorch

spectre_release

Analyzing deviation from orthogonality in RNNs

tgn

TGN: Temporal Graph Networks

torch2pc

Software for using predictive coding algorithms to train PyTorch models.