Grasshlw's Stars
github/gitignore
A collection of useful .gitignore templates
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
hysts/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
rbgirshick/yacs
YACS -- Yet Another Configuration System
AdaptiveMotorControlLab/CEBRA
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Sense-X/UniFormer
[ICLR2022] official implementation of UniFormer
coxlab/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
emited/VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
BICLab/Spike-Driven-Transformer
Offical implementation of "Spike-driven Transformer" (NeurIPS2023)
neurostatslab/tensortools
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
Zyj061/SpikeCV
An open-source framework for spike vision
YunpengZhai/MEB-Net
"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification", ECCV 2020
arsedler9/lfads-torch
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
kamata1729/FullySpikingVAE
Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
sinzlab/sensorium
Code base for the SENSORIUM competition.
YunpengZhai/PEG
“Population-based Cooperative Gaming for Unsupervised Person Re-identification”, IJCV 2023.
zhd96/pi-vae
Poisson Identifiable VAE (pi-VAE)
huyz2023/2by4-pretrain
Efficient 2:4 sparse training algorithms and implementations
Grasshlw/SNN-Neural-Similarity-Static
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
nerdslab/SwapVAE
PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
Grasshlw/SNN-Neural-Similarity-Movie
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli
bionicvisionlab/2023-Xu-Multimodal-Mouse-V1
A Xu, Y Hou, CM Niell, M Beyeler (2023). Multimodal deep learning model unveils behavioral dynamics of V1 activity in freely moving mice. NeurIPS '23