Gabriel Béna's repositories
pygame_rdk
a random dot kinematogram (RDK) implemented with PyGame
augmax
Efficiently Composable Data Augmentation on the GPU with Jax
beta-tcvae
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
capocaccia-spinnaker-workgroup
Meta Learning with SNNs and Spinnaker
cax
Cellular Automata Accelerated in JAX
CKA-similarity
An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
deepR-torch
Pytorch implementation of deepR algorithm (Bellec et al. 2017)
gabrielbena.github.io
Publish Logseq Pages
genotype-nca
Neural Cellular Automata
logseq-public
Github Pages of my public logseq pages
manual_sweeps
Hand Implementation of wandb style sweeps, using file locks
Neural-Random-Walker
A suite of codes for performing discrete time Markov chain random walks with neuromorphic hardware and simulators.
nn-clustering-pytorch
Checking the divisibility of neural networks, and investigating the nature of the pieces networks can be divided into.
pygame-text
Convenience functions for drawing using the pygame.font module. Packaged
pytorch-eventprop
A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
quantization-networks
alibabacloud-quantization-networks
reptile-torch
PyTorch Implementation of Reptile
snntorch
Deep and online learning with spiking neural networks in Python
specialization-dynamics-data
Data needed to recreate figures from Dynamics of Specialization paper (Béna, Goodman 2024)
torchneuromorphic
Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
yin_yang_data_set
packaged version of the ying yang dataset