Stars
[NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detection
llama3 implementation one matrix multiplication at a time
This repository contains demos I made with the Transformers library by HuggingFace.
An extremely fast Python package and project manager, written in Rust.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Common Python utilities and GitHub Actions in Lightning Ecosystem
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535
A collection of utility functions to work with PyTorch sparse tensors
A method for detecting anomalies consisting of unusual combinations of normal elements using set features
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables
A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)
Unofficial re-implementation of MemSeg for Anomaly Detection
A tool for refurbishing and modernizing Python codebases
A conda-smithy repository for pytorch-lightning.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™