Stars
Code repo of our paper Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis (https://arxiv.org/abs/2406.10794)
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Containing code for fallacy failure attack (FFA), accepted to EMNLP2024
[NDSS'25 Poster] A collection of automated evaluators for assessing jailbreak attempts.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Vocabulary list of GPT-4o (o200k_base) and GPT-4/GPT-3.5 (cl100k_base) tokenizers. Special tokens are excluded.
The fastest JavaScript BPE Tokenizer Encoder Decoder for OpenAI's GPT-2 / GPT-3 / GPT-4 / GPT-4o / GPT-o1. Port of OpenAI's tiktoken with additional features.
Universal and Transferable Attacks on Aligned Language Models
Implementation of paper: Don’t Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
A σ-VAE implementation in TensorFLow
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
A high-throughput and memory-efficient inference and serving engine for LLMs
SIMPLE: A Gradient Estimator for $k$-subset Sampling
Scalable training and inference for Probabilistic Circuits
DeepPrivacy2 - A Toolbox for Realistic Image Anonymization
official implementation of CVPR'20 oral paper: Generating 3D People in Scenes without People.: https://ps.is.tuebingen.mpg.de/publications/smpl-x-conditional-vae-prox-scene-constraints
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.
Code and documentation to train Stanford's Alpaca models, and generate the data.