fangwei123456

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Spike-Element-Wise-ResNet

Deep Residual Learning in Spiking Neural Networks

Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

python-jpeg-encoder

create a standardized JPEG file

Parallel-Spiking-Neuron

PixelUnshuffle-pytorch

PixelUnshuffle, inverse operation of PixelShuffle

telloGUIController

A tello GUI controller based on Qt

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

tempotron

L3C-PyTorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

Nengo-RL

NengoDL-Examples

pytorch_entropy_loss

cameraCapture

fangwei123456.github.io

Minimal is a Jekyll theme for GitHub Pages

lava-dl

Deep Learning library for Lava

live555Test

基于live555的直播测试，VS2012

losslyImageCompression

OJ

TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.