Pinned Repositories
Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
BP-STA
This repository contains code from our paper Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
CVPR2020-Code
CVPR 2020 论文开源项目合集
Difference-Target-Propagation
DTP implemented with PyTorch
DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
event-based_vision_resources
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
Greedy_InfoMax
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
SNN_benchmark
XDUSPONGE's Repositories
XDUSPONGE/SNN_benchmark
XDUSPONGE/event-based_vision_resources
XDUSPONGE/BP-STA
This repository contains code from our paper Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
XDUSPONGE/CVPR2020-Code
CVPR 2020 论文开源项目合集
XDUSPONGE/Difference-Target-Propagation
DTP implemented with PyTorch
XDUSPONGE/fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
XDUSPONGE/Greedy_InfoMax
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
XDUSPONGE/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
XDUSPONGE/PyTorch-Spiking-YOLOv3
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
XDUSPONGE/PytorchNetHub
项目注释+论文复现+算法竞赛+Pytorch实践
XDUSPONGE/SAN
Exploring Self-attention for Image Recognition, CVPR2020.
XDUSPONGE/antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
XDUSPONGE/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
XDUSPONGE/brain-networks-across-the-web
list of brain networks ready to be downloaded for your brainhacking pleasure
XDUSPONGE/DA
Unsupervised Domain Adaptation Papers and Code
XDUSPONGE/deepcaps
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
XDUSPONGE/ebms_regression
Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).
XDUSPONGE/LSNN-official
Long short-term memory Spiking Neural Networks
XDUSPONGE/mi-prometheus
Enabling reproducible Machine Learning research
XDUSPONGE/paper-reading
XDUSPONGE/pygcn
Graph Convolutional Networks in PyTorch
XDUSPONGE/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
XDUSPONGE/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
XDUSPONGE/RepVGG
RepVGG: Making VGG-style ConvNets Great Again
XDUSPONGE/SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
XDUSPONGE/trainer.pytorch
A tiny but handy training code base for general tasks, written in pytorch
XDUSPONGE/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
XDUSPONGE/TSSL-BP
Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
XDUSPONGE/vib
Theory and PyTorch implementation of Deep Variational Information Bottleneck
XDUSPONGE/VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.