yyq19990828

ConvNeXt

Code release for ConvNeXt model

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

project-based-learning

Curated list of project-based tutorials

labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Surface-Defect-Detection

📈 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.

lihang-code

《统计学习方法》的代码实现

ComputerArchitectureAndCppBooks

📚 计算机体系结构与C++书籍收集(持续更新)

Cpp-Primer-Plus-6th

《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

MS-ResNet

Advancing Spiking Neural Networks towards Deep Residual Learning

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Spike-Driven-Transformer

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

awesome-snn-conference-paper

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 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。

udlbook

Understanding Deep Learning - Simon J.D. Prince

guided-diffusion

stable-diffusion

A latent text-to-image diffusion model

win12

Windows 12 网页版，在线体验 点击下面的链接在线体验

LDR

The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.".

norse

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

STSC-SNN

STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks

ICLR_TINY_SNN

Offical implementation of "WHEN SPIKING NEURAL NETWORKS MEET TEMPORAL ATTENTION IMAGE DECODING AND ADAPTIVE SPIKING NEURON" (ICLR2023)

TCJA

[TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"

Attention-SNN

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

SNN-Daily-Arxiv

Update arXiv papers about Spiking Neural Networks daily.

redunet

Official PyTorch Implementation of Deep Networks from the Principle of Rate Reduction (2021)