🎓 Path to a free self-taught education in Computer Science!

An opinionated list of awesome Python frameworks, libraries, software and resources.

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

defect detection algorithm

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc

A curated list of awesome anomaly detection resources

Paper list for SNN based computer vision tasks.

Update arXiv papers about Spiking Neural Networks daily.

Awesome Spiking Neural Networks

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)

🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)

Pure python implementation of SNN

Deep learning with spiking neural networks (SNNs) in PyTorch.

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Neuromorphic Intermediate Representation reference implementation

Benchmark harness and baseline results for the NeuroBench algorithm track.

assistant tools for attention visualization in deep learning

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

Dataset containing IR, visible and audio data to be used to train drone detection systems.

😱 从源码层面，剖析挖掘互联网行业主流技术的底层实现原理，为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶，Mybatis、Netty、Dubbo 框架，及 Redis、Tomcat 中间件等