punchbunny's starred repositories

SecLists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

Language:DartStargazers:51986Issues:1572Issues:0

how-to-secure-anything

How to systematically secure anything: a repository about security engineering

Awesome-Red-Teaming

List of Awesome Red Teaming Resources

data

Assorted data from the General Services Administration.

awesome-space

๐Ÿ›ฐ๏ธ๐Ÿš€A list of awesome space-related packages and resources maintained by The Orbital Index

FBI-tools

๐Ÿ•ต๏ธ OSINT Tools for gathering information and actions forensics ๐Ÿ•ต๏ธ

Crypto-OpSec-SelfGuard-RoadMap

Here we collect and discuss the best DeFi, Blockchain and crypto-related OpSec researches and data terminals - contributions are welcome.

notebooks

All of our computational notebooks

Language:PythonLicense:GPL-3.0Stargazers:597Issues:25Issues:0

open-computational-neuroscience-resources

A publicly-editable collection of open computational neuroscience resources

OSINT-Cheat-sheet

OSINT cheat sheet, list OSINT tools, dataset, article, book and OSINT tips

exploitdb-papers

The legacy Exploit Database paper repository - New repo located at https://gitlab.com/exploit-database/exploitdb-papers

chiasmodon

Chiasmodon is an OSINT tool designed to assist in the process of gathering information about a target domain. Its primary functionality revolves around searching for domain-related data, including domain emails, domain credentials, CIDRs , ASNs , and subdomains, the tool also allows users to search Google Play application ID.

Language:PythonLicense:MITStargazers:415Issues:9Issues:1

cheatsheets

High quality and text versions of cheat sheets from Cyber Detective Twitter

awesome-maps

There is more than google: A collection of great online maps ๐ŸŒ๐Ÿ—บ๐ŸŒŽ

treetime

Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction

Language:Jupyter NotebookLicense:MITStargazers:214Issues:17Issues:141

rwet

Notebooks and other materials for Reading and Writing Electronic Text

Language:Jupyter NotebookStargazers:198Issues:17Issues:3

material-of-language

Notes and notebooks for Material of Language

Language:Jupyter NotebookStargazers:63Issues:2Issues:0

simpleneighbors

A clean and easy interface for performing nearest-neighbor lookups

Language:PythonLicense:BSD-3-ClauseStargazers:50Issues:1Issues:8

GCWizard

GC Wizard

Language:DartLicense:NOASSERTIONStargazers:42Issues:10Issues:580

financial-astrology-machine-learning

We use advanced machine learning techniques to build models that correlate planet cycles and aspects (cosmic energy) with markets price action to forecast the daily trend direction. Join our discussions at Telegram:

Language:RLicense:AGPL-3.0Stargazers:40Issues:10Issues:1

DeepDive

Feature extraction, dimensionality reduction, model benchmarking.

Language:Jupyter NotebookStargazers:25Issues:2Issues:1

comexmadivla

Computational exploration of magical and divinatory language

Language:Jupyter NotebookStargazers:21Issues:3Issues:0

Fatum

The Fatum Project using quantum randomness to influence the macro level.

Language:C#Stargazers:21Issues:5Issues:0

notebooks

Tutorial notebooks for Stingray

Language:Jupyter NotebookLicense:MITStargazers:20Issues:9Issues:20

m-mf

m&mf is an AI system for Lusternia, an online MUD. It has advanced and adaptable curing capabilities, defence raising, and addons.

Language:LuaLicense:NOASSERTIONStargazers:18Issues:12Issues:45

astrology_gambling_books

Bibliography of applying astrology, numerology, and divination on games (horse racing, football, or other sports )

Fatum

The Fatum Project using quantum randomness to influence the macro level.

Language:C#Stargazers:1Issues:0Issues:0

mtl_perception

When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception

Language:Jupyter NotebookStargazers:1Issues:0Issues:0