Pinned Repositories
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Resources about time series forecasting and deep learning.
ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
AmericaOpposeAmerica
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。
Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Computer-Vision-Synthetic-Data-Generation
Synthetic data-set generator for Object Detection and Instance Segmentation
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ImageProcessing-Python
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
learn-regex
Learn regex the easy way
ResNest
wrqf's Repositories
wrqf/Computer-Vision-Synthetic-Data-Generation
Synthetic data-set generator for Object Detection and Instance Segmentation
wrqf/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
wrqf/AmericaOpposeAmerica
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。
wrqf/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
wrqf/build_synthetic_ishape
Building synthetic iShape dataset by Blender
wrqf/CAP_augmentation
Cut and paste augmentation for object detection and instance segmentation
wrqf/copy-and-paste-augmentation
Case study for applying a Copy-and-Paste Augmentation for object detection and instance segmentation in zoologic collection boxes
wrqf/copy-paste-aug
Copy-paste augmentation for segmentation and detection tasks
wrqf/Copy-Paste-Augmentation
An unofficial implematation for Copy-Paste augementation in segmentation
wrqf/Copy-Paste-for-Semantic-Segmentation
Unofficial implementation of Copy-Paste method：Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
wrqf/curriculum_learning_blenderproc
wrqf/CV_Interview
wrqf/CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
wrqf/Dataset-Converters
A conversion toolset between different object detection and instance segmentation annotation formats
wrqf/Datasets-auto-generator-based-on-Blender
This code generates image datasets with annotations and labels for training your neural network by one click.
wrqf/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
wrqf/deep_fluids_pytorch
The reduced.py file is a script that produces 2000 smoke images (different among them for source size and position). The 'result_2000_images_400_epochs_8_batchsize' contains reconstructions and gt of images from the 2000 smoke images dataset. The main.py can be run to reproduce the said results (almost, I have not fixed any random seed, so the reconstructed images will be different).
wrqf/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
wrqf/downkyi
哔哩下载姬downkyi，B站视频下载工具，支持批量下载，支持4K，支持解除地区限制下载，提供工具箱（音视频提取、去水印等）。
wrqf/emkademy-blog-materials
画三维聚类图
wrqf/image-to-coco-json-converter
Convert segmentation RGB mask images to COCO JSON format
wrqf/json-coco-category
Count the number of categories in JSON file and visualize them
wrqf/mmdetection-mini
mmdetection最小学习版
wrqf/object-detection-usages
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.
wrqf/robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/
wrqf/RS_Detection-pytorch
wrqf/Semantic-Segmentation-Loss-Functions
This Repository is implementation of majority of Semantic Segmentation Loss Functions
wrqf/Single-Underwater-Image-Enhancement-and-Color-Restoration
Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"
wrqf/Yolact_EfficientNet
Yolact with EfficientNet backbone
wrqf/Yolact_minimal
Minimal PyTorch implementation of YOLACT.