GabrielBena

specialization-dynamics

pygame_rdk

a random dot kinematogram (RDK) implemented with PyGame

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

capocaccia-spinnaker-workgroup

Meta Learning with SNNs and Spinnaker

CKA-similarity

An Numpy and PyTorch Implementation of CKA-similarity with CUDA support

custom_heatmap

deepR-torch

Pytorch implementation of deepR algorithm (Bellec et al. 2017)

functorch

functorch is a prototype of JAX-like composable function transforms for PyTorch.

gabrielbena.github.io

Publish Logseq Pages

genotype-nca

Neural Cellular Automata

growing_CA

GrowNeuralNets

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

randman

reptile-torch

PyTorch Implementation of Reptile

snn_maml

snntorch

Deep and online learning with spiking neural networks in Python

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