xXA2005's Stars
louislam/uptime-kuma
A fancy self-hosted monitoring tool
tokio-rs/tokio
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
cloudflare/quiche
š„§ Savoury implementation of the QUIC transport protocol and HTTP/3
a-h/templ
A language for writing HTML user interfaces in Go.
rustls/rustls
A modern TLS library in Rust
mozilla/neqo
Neqo, the Mozilla Firefox implementation of QUIC in Rust
bogdanfinn/tls-client
net/http.Client like HTTP Client with options to select specific client TLS Fingerprints to use for requests.
hyperium/h3
mikexcohen/DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
0x676e67/vproxy
An fast asynchronous Rust HTTP/Socks5 Proxy
Implex-ltd/hcaptcha-reverse
Reverse engineered hcaptcha.
xhyrom/discord-datamining
repository offering datamining and analyzing web builds, host builds, articles, blog posts, policies, jobs, @discord github and their domain(s)
mathletedev/rust-ml
Precalculus matrices project implemented in neural networks
DXVVAY/hcaptcha-reverse
hCaptcha hsw reverse engineered
Carcraftz/fhttp
fork of fhttp with fixed window_update and removal of gzip/flate/brotli decoding
VirusNoirrr/InstagramGen
Automate process of instagram account creation using web requests only.
soyum2222/http-socks5
http/https proxy to socks5 proxy
xXA2005/hcaptcha-noob-encryption
Carcraftz/utls
Fork of https://gitlab.com/yawning/utls for github. It can be used in Go without issues parsing go.mod
procapwtf/ProCap
ProCap is a captcha solving service that handle help you to bypass various type of captchas
IamAdminX/operagx-promo-gen
wow fire
KeyAuth/KeyAuth-Go-Example
KeyAuth Go Example
xXA2005/custom-ocr-maker
IamAdminX/discorded
scraping discord
xXA2005/image-recognition
tfcmahmoud/Authentication-System
a-alhusaini/daarb_website
a-alhusaini/dungeon_breakout
DCH81/Dch-VM
Fast python virtual machine
MissoumYoucef/DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"