lyhkk Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-spider

爬虫集合

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.

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

bus-dispatching

OJ version

chatgpt-web

使用 express 和 vue3 搭建的 ChartGPT 演示网页

chatpaper

Use ChatGPT to summarize the arXiv papers.

chinadns

Protect yourself against DNS poisoning in China.

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

edvr

example-app-crypto-dashboard

free-programming-books

:books: Freely available programming books

helloqtnetwork

Show the use of Qt network module. 展示Qt网络模块的使用

image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等

lhy2021_code

My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)

lhy_2021_notes

深度学习 李宏毅 2021 学习笔记

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

lyhkk

Config files for my GitHub profile.

lyhkk.github.io

mit6.s081

pytorch

【PyTorch】教学代码

pytorch_practice

这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书

rawvsr

reference

为开发人员分享快速参考备忘清单(速查表)

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.