🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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/

A swiss army knife for pentesting networks

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and …

Hunt for security weaknesses in Kubernetes clusters

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.

the LLM vulnerability scanner

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

Dataset of GPT-2 outputs for research in detection, biases, and more

Library for training machine learning models with privacy for training data

Multi-cloud OSINT tool. Enumerate public resources in AWS, Azure, and Google Cloud.

a CLI that provides a generic automation layer for assessing the security of ML models

Implement your own USB device in Python, supported by a hardware peripheral such as Cynthion or GreatFET

NGINX configuration static analyzer

NVIDIA Federated Learning Application Runtime Environment

A multi-platform GUI for bit-based analysis, processing, and visualization

CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)

A tool that implements the Golden SAML attack

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

Advanced Profiling and Analytics for AMD Hardware

Advanced Privacy-Preserving Federated Learning framework

A python module that provides a quick way to overview a DataFrame

Metric Differential Privacy for NLP

Generate a software bill of materials (SBOM) for a spack package

ndn-hydra: A Python-coded NDN distributed repository with five focused attributes: resiliency, scalability, usability, efficiency, and security.

Configuration and authenticated for Nginx with SciTokens

Training, Testing, and Experimenting with the MNIST dataset and Multilayer Perceptrons