Pinned Repositories
aerosol
气溶胶反演
Bi-Tempered-Logistic-Loss-PyTorch
PyTorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. Using as origin PyTroch loss.
extraterrestrial-solar-radiation
地外太阳辐射（extraterrestrial solar radiation）计算程序，Python实现
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
Label-Smoothing-for-CrossEntropyLoss-PyTorch
add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()
Python-Satellite-remote-sensing
卫星遥感-数据处理、分析与反演-Python实现
Remote-sensing-Segmentation-PyTorch
基于Pytorch框架，处理遥感影像分割任务
vegetation_monitoring_of_remote_sensing
卫星遥感植被指数算法
DeepPrep
DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning
FastCSR
NingAnMe's Repositories
NingAnMe/Python-Satellite-remote-sensing
卫星遥感-数据处理、分析与反演-Python实现
NingAnMe/Label-Smoothing-for-CrossEntropyLoss-PyTorch
add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()
NingAnMe/aerosol
气溶胶反演
NingAnMe/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
NingAnMe/Bi-Tempered-Logistic-Loss-PyTorch
PyTorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. Using as origin PyTroch loss.
NingAnMe/DeepPrep
DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning
NingAnMe/Remote-sensing-Segmentation-PyTorch
基于Pytorch框架，处理遥感影像分割任务
NingAnMe/extraterrestrial-solar-radiation
地外太阳辐射（extraterrestrial solar radiation）计算程序，Python实现
NingAnMe/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
NingAnMe/Aerosol-verification-using-AERONET
气溶胶验证：使用AERONET数据对气溶胶数据进行验证
NingAnMe/DeepPrep-Data-Analysis
NingAnMe/ECG-CNN-PyTorch
An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification
NingAnMe/GFSSI
NingAnMe/Remote-sensing-Classification-PyTorch
public models
NingAnMe/SSI-forecast
太阳能SSI预测，未来4小时
NingAnMe/Data-Structure-and-Algorithms
使用Python实现常见的数据结构和算法。
NingAnMe/DeepPrep-docs
NingAnMe/cadvisor-prometheus-grafana
docker-compose for cadvisor-prometheus-grafana
NingAnMe/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.
NingAnMe/GFFP
NingAnMe/Graph-Mamba
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
NingAnMe/IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
NingAnMe/mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
NingAnMe/neuro-image-analysis
NingAnMe/Parsers-for-clash
Parsers-for-clash
NingAnMe/pytorch-utils
loss function, optimizer, lr scheduler.
NingAnMe/snow_cover_of_remote_sensing
遥感卫星的雪盖产品
NingAnMe/spectrum-gap-filling
NingAnMe/TianChi-ECG-abnormal-event-prediction
NingAnMe/voxelmorph
Unsupervised Learning for Image Registration