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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

al_surface_defect_detection

My code for Tianchi competition-Aluminum surface defect detection(held by Alibaba Cloud). My final rank is 10/2972(top 0.3%).

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

anomaly-benchmarking

传统方法异常检测

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ai-awesomeness

所有细分AI论文代码库查询A curated list of awesome awesomeness about artificial intelligence

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-defect-detection

defect detection algorithm

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-tensorflow2

基于Tensorflow2开发的优秀扩展包及项目

axi_pcb_defect_detection

This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from multi-layer PCB boards. Proprietary AXI image dataset is not included in this repo. Users can use their own datasets on top of the OOP data extraction layer and neural network models implemented here.

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

bppo

Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).

classification_models

Classification models trained on ImageNet. Keras.

computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

cppmaster

C++ Master Learning Roadmap, especially for AIoT and C++ advanced SWE

cryptopp

free C++ class library of cryptographic schemes

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

detr

End-to-End Object Detection with Transformers

detreg

只是使用了无监督预训练模型Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

diffusiondet

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

dino-1

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dl_model_deploy