Ning An's repositories
DeepPrep
DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning
Graph-Mamba
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
Parsers-for-clash
Parsers-for-clash
fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
cadvisor-prometheus-grafana
docker-compose for cadvisor-prometheus-grafana
IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Remote-sensing-Segmentation-PyTorch
基于Pytorch框架,处理遥感影像分割任务
voxelmorph
Unsupervised Learning for Image Registration
geo-data-verification
包含经纬度的地理数据(卫星数据、站点数据):交叉匹配、验证
ECG-CNN-PyTorch
An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification
pytorch-utils
loss function, optimizer, lr scheduler.
extraterrestrial-solar-radiation
地外太阳辐射(extraterrestrial solar radiation)计算程序,Python实现
snow_cover_of_remote_sensing
遥感卫星的雪盖产品
Bi-Tempered-Logistic-Loss-PyTorch
PyTorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. Using as origin PyTroch loss.
Label-Smoothing-for-CrossEntropyLoss-PyTorch
add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()
Remote-sensing-Classification-PyTorch
public models
Himawari-8-SSI-retrieval-machine-learning
葵花8卫星AHI传感器基于机器学习的地面太阳辐射反演
Aerosol-verification-using-AERONET
气溶胶验证:使用AERONET数据对气溶胶数据进行验证
Data-Structure-and-Algorithms
使用Python实现常见的数据结构和算法。
Python-Satellite-remote-sensing
卫星遥感-数据处理、分析与反演-Python实现
SSI-forecast
太阳能SSI预测,未来4小时