autoXRD
XRD classifier
Automates XRD pattern classification using CNNs and data augmentation
Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
50 stars
10 watching
21 forks
Language: Python
last commit: almost 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| This project uses deep learning to analyze chest radiographs and diagnose COVID-19. | 50 |
| Matlab implementation of a deep learning-based method for classifying hyperspectral images | 56 |
| Converts crystal structures to grayscale PNG images for use in machine learning models | 35 |
| A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
| This repository provides a framework for visual relationship detection using deep learning models and pre-processing tools. | 94 |
| Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 2,022 |
| Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework. | 494 |
| This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. | 60 |
| A library for working with chest X-ray datasets and pre-trained deep learning models. | 944 |
| An application that uses deep learning to detect faults in photovoltaic panels using thermal infrared images. | 42 |
| Automated detection and registration of rooftop-mounted photovoltaic systems in 3D from satellite imagery. | 51 |
| Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |
| An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
| Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |