47,133 repositories indexed
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Deep network visibility, powered by Suricata. Artica integrates the Suricata IDS engine directly inside your server, giving you enterprise-grade intrusion detection without the complexity. Monitor every packet in real time, detect advanced threats, and visualize malicious
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.
A toaster provides simple feedback about an operation in a small popup.
Market definition database with semantic search
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
A CakePHP plugin for psalm
:iphone: A Yeoman generator that scaffolds a minimal www directory for a new Cordova app, with optional JavaScript flavors: jQuery, Framework7 or Vanilla.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Small-C Compiler, Assembler, Linker, Make tool, and Library for 16-bit MS-DOS.
Small library to make slugs, mainly for URIs, from english and beyond.
A small Crystal library designed to make the Public Suffix List (https://publicsuffix.org/) easier to use.
A simple tool to organise large malicious/benign files into a organised Structure.
Simple tool to find the yara matches on a file
minimal aws signature version 4 implementation for micropython/embedded use.
Advanced eBPF-driven Digital Forensics and Incident Response (DFIR) framework for live Golang malware analysis, threat hunting, and observability.
Small example showing how to use vertx-grpc client in order to target a running dgraph service
High performance, zero-allocation, low memory usage (8 bytes), low precision (17 digits), partially compatible with int64 and shopspring Decimal
A minimalist CouchDB 2.x database client.
:ledger: Yet another minimalist logging library
a collection of small utlities useful for neuroimaging research
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.
Minimal binding to libdl
A fast, minimalistic participant management system for your hackathon 🚀