Diffusion Model-Based Image Editing: A Survey (arXiv)

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

Latex code for making neural networks diagrams

[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

python 3 pytorch implementation of DANN

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

NYU Deep Learning Spring 2021

Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Estimate the power from EL measurements of PV modules using Deep Learning

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research are very important. 🐋

图神经网络相关算法详述及实现

Implementation of Non-local Block.

《深入浅出图神经网络：GNN原理解析》配套代码

TIANCHI 天池 “数字人体”视觉挑战赛——宫颈癌风险智能诊断 算法赛道 LLLLC队代码 4/2359

Simple and ready-to-use tutorials for TensorFlow

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Exploring Self-attention for Image Recognition, CVPR2020.

CVPR 2020 论文开源项目合集

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

YOLOv3 in PyTorch > ONNX > CoreML > iOS

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)