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

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

A method for detecting anomalies consisting of unusual combinations of normal elements using set features

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

ChatGLM-6B：开源双语对话语言模型 | An open bilingual dialogue language model

This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

A library for efficient similarity search and clustering of dense vectors.

[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

Framework for Easily Invertible Architectures

Datasets, Transforms and Models specific to Computer Vision

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

demos to show the capabilities of ONNX Runtime Web

A playbook for systematically maximizing the performance of deep learning models.

A latent text-to-image diffusion model

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

PatchCore method for Industrial Anomaly Detection + CLIP

Unofficial Re-implementation of MemSeg for Anomaly Detection

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Official Code for Invertible Residual Networks

[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

Official implementation of PVT series

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO