gabrielbena Goto Github PK

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

pygame_rdk

a random dot kinematogram (RDK) implemented with PyGame

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

specialization-dynamics

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