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cnn-lstm_for_dsm icon cnn-lstm_for_dsm

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-based phenological variables"

metpy icon metpy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

multi-hoggorm icon multi-hoggorm

Component-based multivariate statistical tools for exploratory multiblock analysis.

pytorch-cnn-for-rul-prediction icon pytorch-cnn-for-rul-prediction

PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

soilgrids icon soilgrids

A Python library to fetch the global gridded soil information from SoilGrids (https://www.isric.org/explore/soilgrids)

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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