Stars
A drift-diffusion modeling (DDM) framework for Python
论文“结合深度学习的高分七号影像大场景DSM生成”的相关代码和数据
These scripts are used to obtain the projected shapefiles from the original ICESat .H5 files in a batch process.
Lime: Explaining the predictions of any machine learning classifier
Modified Snowmelt Runoff model for forecasting snowmelt in central northern Chile (M-SRM).
Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
A CNN + LSTM architecture to predict seizure from EEG data
CNN-LSTM for intracranial hemorrhage detection
Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-base…
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
This repository includes codes related to the detection of sinkholes using UNet and CNN-LSTM model.
heqifan / sankee
Forked from aazuspan/sankeeVisualize classified time series data with interactive Sankey plots in Google Earth Engine
The official repository for the Weather Research and Forecasting (WRF) model
Process NetCDF files into raster (TIF) files for Dynamical Downscaling, Hawaii.
A simple implementation of esrgan, which uses the pytorch framework.
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.