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anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

awesome-public-datasets

A topic-centric list of HQ open datasets.

cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

cv

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-for-image-processing

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

deep-learning-image-classification-models-based-cnn-or-attention

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

explore-the-world

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

micro-sam

Segment Anything for Microscopy

nanodiffractionanalysis

Probing lattice defects in crystalline battery cathode using hard X-ray nanoprobe with data-driven modeling

neu-det-steel-surface-defect-detection

This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.

neu-det_segment_project

Using the SAM2 model in AnyLabeling for semi-automatic segmentation

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pyxrd

PyXRD is a python implementation of the matrix algorithm for computer modeling of X-ray diffraction (XRD) patterns of disordered lamellar structures.

rembg

Rembg is a tool to remove images background

steel-surface-defect-detection

针对NEU-DET数据集的钢材缺陷检测

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

svm_mnist_digit_classification

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

unsupervised-defect-detection-project-based-on-vae-gan-architecture

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.

xrsdkit

X-ray scattering and diffraction analysis, featuring data-driven modeling and least-squares fitting

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite