A Collection of Variational Autoencoders (VAE) in PyTorch.

A simple tutorial of Variational AutoEncoders with Pytorch

Mutual Information in Pytorch

This is an implementation of the VAE (Variational Autoencoder) for Cifar10

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Repository for PrimeVul Vulnerability Detection Dataset

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection (RAID 2023) https://surrealyz.github.io/files/pubs/raid23-diversevul.pdf

RAI Games

Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks

Code for "Diffusion Model Alignment Using Direct Preference Optimization"

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or im…

[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

Using Low-rank adaptation to quickly fine-tune diffusion models.

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining