A list of useful payloads and bypass for Web Application Security and Pentest/CTF
- pentest
- payload
- bypass
- web-application
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A list of useful payloads and bypass for Web Application Security and Pentest/CTF
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
List of JavaScript methods which you can use natively + ESLint Plugin
TranslatedThe second edition of "One-Person Business Methodology" (《一人企业方法论》), also suitable for non-technical people doing other side businesses (such as self-media, e-commerce, digital goods).
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
Below are some simple methods for exiting vim.
A collection of important graph embedding, classification and representation learning papers with implementations.
⚡️ A resource to help figure out what JavaScript array method would be best to use at any given time
My own notes (drafts mostly) about software quality
Software for humanities scholars using quantitative or computational methods.
TranslatedHire a private AI tutor for anything — it reads how you actually learn and teaches the next lesson just for you. Bloom's 2-Sigma research as a Claude Code skill + self-hostable web app · Chinese-first Socratic AI tutor
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
Collapse and expand UICollectionView sections with one method call.
A curated list of free add-ons and scripts for Godot, but for fast computation and scientific methods!
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.