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3dctn

[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification

artery-vein-optimization

Optimization of retinal artery/vein classification based on vascular topology

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

cdrnet

Pytorch implementation for paper "CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography"

contrastiveseg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

darknet

AlexeyAB-DarkNet源码解析

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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[email protected] 版权所有，违权必究 Tan 2018.06

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fightingcv-paper-reading

⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

fundus-correction-cofe-net

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

icra-2023-review

A review of papers presented at ICRA 2023, showcases the latest research and innovations in the field of robotics and automation.

loss-landscape

Code for visualizing the loss landscape of neural nets

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

周志华《机器学习》手推笔记

paper-reading

深度学习经典、新论文逐段精读

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pumpkinbook

南瓜书

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

qtexamples

Qt 之 GUI 控件使用 / 网络 / 架构原理 / 运行机制理解；DTK 重绘控件方式的框架解析；IDE 技巧之 Visual Studio / Qt Creator；此为系列文章教程

qwidgetdemo

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！公众号：Qt实战/Qt入门和进阶/Qt教程

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

segtransformer

smarthome-qt

基于zigbee和stm32的智能家居系统，上位机使用Qt编写，实现了基本的监控。主要包括监控室内温度、湿度、烟雾浓度，用led灯模拟控制家中的灯。界面良好。