anshu0612

awesome-public-datasets

A topic-centric list of HQ open datasets.

ControlNet

Let us control diffusion models!

CheatSheetSeries

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

guidance

A guidance language for controlling large language models.

mypy

Optional static typing for Python

optuna

A hyperparameter optimization framework

great_expectations

Always know what to expect from your data.

atomic-red-team

Small and highly portable detection tests based on MITRE's ATT&CK.

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

isort

A Python utility / library to sort imports.

NeMo-Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

awesome-tips

category_encoders

A library of sklearn compatible categorical variable encoders

LLMDataHub

A quick guide (especially) for trending instruction finetuning datasets

opacus

Training PyTorch models with differential privacy

OWASP-Web-Checklist

OWASP Web Application Security Testing Checklist

prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

privado

Open Source Static Scanning tool to detect data flows in your code, find data security vulnerabilities & generate accurate Play Store Data Safety Report.

fides

The Privacy Engineering & Compliance Framework

piicatcher

Scan databases and data warehouses for PII data. Tag tables and columns in data catalogs like Amundsen and Datahub

SDGym

Benchmarking synthetic data generation methods.

secure-code-review-checklist

PrivacyGo

Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.

awesome-synthetic-data

📖 A curated list of resources dedicated to synthetic data

tabzilla

fideslang

Open-source description language for privacy to declare data types and data behaviors in your tech stack in order to simplify data privacy globally. Supports GDPR, CCPA, LGPD and ISO 19944.

privacy_adversarial_framework

The Privacy Adversarial Framework (PAF) is a knowledge base of privacy-focused adversarial tactics and techniques. PAF is heavily inspired by MITRE ATT&CK®.

GAN-location-generator

Use FastCUT with public map images and location data from a few cities to generate realistic synthetic location data for any city in the world. Based on https://taesung.me/ContrastiveUnpairedTranslation/

MAP

This repository hosts a persona based privacy threat modeling solution called Models of Applied Privacy or MAP.

human_attributes_prediction_in_privacy_conditions

ACM MM'21 (Oral): Official implementation of the Context-guided Human Attributes Prediction Network (CHAPNet) introduced in Human Attributes Prediction Under Privacy-preserving Conditions.