zedoul

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

langchain

🦜🔗 Build context-aware reasoning applications

obs-studio

OBS Studio - Free and open source software for live streaming and screen recording

Prompt-Engineering-Guide

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

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

lsd

The next gen ls command

FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

OpenAgents

OpenAgents: An Open Platform for Language Agents in the Wild

vim-lsp

async language server protocol plugin for vim and neovim

llm-attacks

Universal and Transferable Attacks on Aligned Language Models

attackgen

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios based on user-selected threat actor groups and your organisation's details.

simple_vim_guide

simple vim guide

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

KoreaSecurityApps

(Unofficial) Korean translation of Wladimir Palant's series of writing on vulnerabilities and issues around Korean Security apps.

LLMDebugger

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step

membership-inference-evaluation

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

Differentially-Private-Fine-tuning-of-Language-Models

llm-ant-farm

My version of the Stanford experiment "Generative Agents: Interactive Simulacra of Human Behavior" in Python using a local LLM.

explainAnomaliesUsingSHAP

Explaining Anomalies Detected by Autoencoders Using SHAP

cryptanalytic-model-extraction

StyleAttack

Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

RoarTorch

CVPR 2021 | Metrics for evaluating interpretability methods.

Linear-Program-Reconstruction

secretSharer

Extracting sensitive information from predictive text models

Learning_to_rank

Leraning to rank for Pytorch

datasets-1

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools