Pinned Repositories
Hipe
Hipe是采用C++11编写的高性能、跨平台、简单易用且功能强大的C++并发库。内置了多个独立线程池（Thread Pool），可针对多种场景提供高并发服务。（A high performance concurrent library）
ImageProcess
将图像处理相关算法集成到Ui里
wjq-China's Repositories
wjq-China/Hipe
Hipe是采用C++11编写的高性能、跨平台、简单易用且功能强大的C++并发库。内置了多个独立线程池（Thread Pool），可针对多种场景提供高并发服务。（A high performance concurrent library）
wjq-China/ImageProcess
将图像处理相关算法集成到Ui里
wjq-China/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
wjq-China/CUDA-Programming-Guide-in-Chinese
This is a Chinese translation of the CUDA programming guide
wjq-China/cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
wjq-China/cv_papers
计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译
wjq-China/FCN-pytorch
🚘 Easiest Fully Convolutional Networks
wjq-China/Final2x
2^x Image Super-Resolution
wjq-China/HAUNet-wjq
wjq-China/KuiperCourse
b站上的课程
wjq-China/KuiperInfer
一个推理库的实现, A DIY deep learning inference framework.
wjq-China/learngit
wjq-China/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
wjq-China/lihang-code
《统计学习方法》的代码实现
wjq-China/Meta-SR-Pytorch
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
wjq-China/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
wjq-China/model-explorer
A modern model graph visualizer and debugger
wjq-China/NumpyDL
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
wjq-China/ONNX_TRT_CPP
采用TensorRT的C++接口进行ONNX模型转TRT，并进行Inference推理。前处理采用C++版本的OpenCV。
wjq-China/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
wjq-China/smolar
a tiny multidimensional array implementation in C similar to numpy, but only one file.
wjq-China/stcgal
Open Source STC MCU ISP flash tool
wjq-China/tiny-tensorrt
Deploy your model with TensorRT quickly. 快速使用TensorRT来部署模型
wjq-China/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
wjq-China/tutorials
PyTorch tutorials.
wjq-China/VDSR-PyTorch
PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"
wjq-China/vision
Datasets, Transforms and Models specific to Computer Vision
wjq-China/wandb_tutorial
how to use wandb
wjq-China/wjq-China.github.io
wjq-China/word-review
将csv文件中的单词随机打乱后生成pdf