windcr's starred repositories
super-resolution
collection of super-resolution models & algorithms
RCAN-PyTorch
PyTorch implements `Image Super-Resolution Using Very Deep Residual Channel Attention Networks` paper.
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
python-all
all code used by python(including web-crawler,deeplearning)
Super-Resolution
information collection for super-resolution
XMU_master_and_doctor_degree_thesis
厦门大学硕士博士毕业论文模板
mmdetection
OpenMMLab Detection Toolbox and Benchmark
partialconv
A New Padding Scheme: Partial Convolution based Padding
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
wdsr_ntire2018
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Deeplab-v2--ResNet-101--Tensorflow
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
IDN-pytorch
paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network