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awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-spider

爬虫集合

bezier-curve-interactive-displayer

一个可以演示鼠标拖动曲线控制点和光滑拼接贝赛尔曲线的小工具

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

chatgpt-web

使用 express 和 vue3 搭建的 ChartGPT 演示网页

cnn-fusion

采用CNN将高分辨率灰度图像和低分辨率彩色图像合成为高分辨率彩色图像的图像融合算法

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-learning-for-image-processing

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

deeplsr

Deep Learning-based Laser Speckle Reduction

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gtf

Infrared and visible image fusion via gradient transfer and total variation minimization

image-fusion

图像融合

image_registration

无监督学习图像配准

imagefusion

图像融合的一些经典算法

isp

camera pipeline

isp-pipeline-hdrplus

Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

latexify_py

Generates LaTeX math description from Python functions.

liu

openisp

Image Signal Processor

practice-python

Part of my daily plan for studying Python.

programing

Used to store experimental code

python-100-days

Python - 100天从新手到大师

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

recursive-cascaded-networks-tf2.0

Recursive-Cascaded-Networks TF2.0 migration version

rgb2lab-rgb2hsl

convert a single or multi colors between rgb and Lab or rgb and hsl.

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.

server

PanDownload的个人维护版本