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一种K方体画法

ann2snnconversion_snm_neuronnorm

Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brainpy

A general platform for computational neuroscience and brain-inspired computation

conference-accepted-paper-list

Some Conferences' accepted paper lists (including AI, ML, Robotic)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face_recognition

The world's simplest facial recognition api for Python and the command line

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

five-indoor-environmental-indicators

This Dataset rely on five indicators to judge whether there are people in the room.

ide-fsnn

[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

must-read-papers-on-snn

Collect important papers about snn

parametric-leaky-integrate-and-fire-spiking-neuron

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

ppppps.github.io

python_data_analysis_and_mining_action

《python数据分析与挖掘实战》的代码笔记

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-ddpm

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

pytorch-wavenet

An implementation of WaveNet with fast generation

readme

README文件语法解读，即Github Flavored Markdown语法介绍

simpleaicv-pytorch-imagenet-coco-training

Training examples and results for ImageNet(ILSVRC2012)/COCO2017/VOC2007+VOC2012 datasets.Include ResNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLO series.

snn-learning-methods-papers

该仓库主要收录了顶会中SNN领域的一些论文，论文内容与代理梯度和ANN-SNN转换相关。

snn_calibration

Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

snn_conversion_qcfs

snn_cv_applications_resources

Paper list for SNN based computer vision tasks.

snn_optimal_conversion_pipeline

Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

spike-element-wise-resnet

Deep Residual Learning in Spiking Neural Networks

spike-save

1st commit

spikformer

ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

spiking-cnn

Spiking Convolutional Neural Networks

spikingjelly

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

spyketorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.