elsheikh21

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

streamlit

Streamlit — A faster way to build and share data apps.

maybe

The OS for your personal finances

typer

Typer, build great CLIs. Easy to code. Based on Python type hints.

yfinance

Download market data from Yahoo! Finance's API

h2ogpt

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

john

John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs

Wonder3D

Single Image to 3D using Cross-Domain Diffusion for 3D Generation

giskard

🐢 Open-Source Evaluation & Testing for LLMs and ML models

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

CloakQuest3r

Uncover the true IP address of websites safeguarded by Cloudflare & Others

offensive-ai-compilation

A curated list of useful resources that cover Offensive AI.

Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

StratosphereLinuxIPS

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

r4ven

Track the GPS location of the user's smartphone or PC and capture a picture of the target, along with IP and device information.

MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

KitNET-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

TSDB

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

TimeEval-algorithms

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

Roota

Roota is a public-domain language of threat detection and response that combines native queries from a SIEM, EDR, XDR, or Data Lake with standardized metadata and threat intelligence to enable automated translation into other languages

awesome-ml-security

suricata_grafana_dashboard

SpectralAdversarialDefense

Detecting adversarial attacks uses Fourier analysis.

dpa-autoencoders

Repository containing the code used to perform experiments shown in the paper "Data Poisoning Attacks to Anomaly Detection Models: a Robustness Analysis"