🦜🔗 Build context-aware reasoning applications 🦜🔗

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Instruct-tune LLaMA on consumer hardware

This repository contains implementations and illustrative code to accompany DeepMind publications

Official inference library for Mistral models

Image restoration with neural networks but without learning.

Data augmentation for NLP

[ICCV 2019] Monocular depth estimation from a single image

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

New ways of breaking app-integrated LLMs

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

A Toolbox for Adversarial Robustness Research

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

real Transformer TeraFLOPS on various GPUs

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

Efficient Learning of Augmentation Policy Schedules

South-East Asia Large Language Models

AdvHat: Real-world adversarial attack on ArcFace Face ID system

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Deep RL algorithm in pytorch

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

对抗样本

Improving Alignment and Robustness with Circuit Breakers