autoXRD

XRD classifier

A tool for classifying X-ray diffraction patterns using machine learning and data augmentation.

Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

GitHub

50 stars
10 watching
21 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
priyavrat-misra/xrays-and-gradcam This project uses deep learning to analyze chest radiographs and diagnose COVID-19. 49
yonghaoxu/rpnet Matlab implementation of a deep learning-based method for classifying hyperspectral images 55
sparks-baird/xtal2png Converts crystal structures to grayscale PNG images for use in machine learning models 35
felixgwu/img_classification_pk_pytorch A PyTorch project for comparing image classification models and facilitating quick experiment setup 365
yangxuntu/vrd This repository provides a framework for visual relationship detection using deep learning models and pre-processing tools. 94
autodistill/autodistill Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. 1,997
bmirds/deepslide Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework. 489
yuetan031/fedstar This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. 58
mlmed/torchxrayvision A library for working with chest X-ray datasets and pre-trained deep learning models. 928
rentadronecl/photovoltaic_fault_detector An application that uses deep learning to detect faults in photovoltaic panels using thermal infrared images. 41
kdmayer/3d-pv-locator Automated detection and registration of rooftop-mounted photovoltaic systems in 3D from satellite imagery. 51
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112
xiaoyang-rebecca/patternrecognition_matlab An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. 71
chenxi116/pnasnet.tf An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. 102
chanyn/hkrm Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. 104