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Terence's starred repositories

CppCoreGuidelines-zh-CN

Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.

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CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

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openwrt-cdnspeedtest

Getting the fastest ips of CDN to your network

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one_click_script

install latest or LTS linux kernel and enable BBR or BBR plus

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helloworld

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lede

Lean's LEDE source

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openwrt-passwall

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edgetunnel

Running V2ray inside edge/serverless runtime

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EDtunnel

Use Cloudflare pages and worker serverless to implement VLESS protocol

Language:JavaScriptMIT665500

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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so-vits-svc

SoftVC VITS Singing Voice Conversion

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warp

WARP one-click script. Add an IPv4, IPv6 or dual-stack CloudFlare WARP network interface and Socks5 proxy for VPS. 一键脚本

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N_m3u8DL-CLI

[.NET] m3u8 downloader 开源的命令行m3u8/HLS/dash下载器，支持普通AES-128-CBC解密，多线程，自定义请求头等. 支持简体中文,繁体中文和英文. English Supported.

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drcom-generic

Dr.COM/DrCOM 现已覆盖 d p x三版。

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openwrt

OpenWrt Stable Version

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Tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

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MediaCrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频｜评论爬虫、微博帖子｜评论爬虫、百度贴吧帖子｜百度贴吧评论回复爬虫

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

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SpectFormers

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llama2.c

Inference Llama 2 in one file of pure C

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awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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oopstls