Mew-YL

Mew-YL's Stars

• gmiguez/MMF-HYDROMODEL

  Model code

  Language:Fortran57

• wmurphyrd/colorplaner

  📊ggplot2 Extension to Visualize Two Variables Per Color Aesthetic through Color Space Projection

  Language:R314

• arbennett/coupled_ml_summa

  Language:Jupyter Notebook41

• leelew/CLSTM

  Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology)

  Language:Python131

• shoebodh/hydrusR

  Utility functions to run the HYDRUS-1D soil-water flow model through R

  Language:R2615

• phydrus/phydrus

  :sweat_drops: Python implementation of the HYDRUS-1D unsaturated zone model

  Language:Python8536

• HydroComplexity/SoilMoisture

  1D Vertical Soil Moisture model

  Language:Python46

• ESMWG/NoahMP

  The Noah with multiparameterization options (NoahMP) land surface model

  Language:Fortran1916

• kratzert/ealstm_regional_modeling

  Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

  Language:Jupyter Notebook8848

• motefly/DeepGBM

  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

  Language:Python649135

• pltrees/abcboost

  Language:C++10629

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k675

• Rgree0/AttConvLSTM

  A Surface Soil Moisture Prediction Model based on Attention and ConvLSTM.

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• rtanno21609/AdaptiveNeuralTrees

  Adaptive Neural Trees

  Language:Jupyter Notebook15124

• arkadaw9/PGNN

  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling

  Language:Python10435

• jindongwang/tlbook-code

  Code for Transfer Learning book--《迁移学习导论》配套代码

  Language:Python26249

• ashishpatel26/Tensorflow-Keras-Custom-Data-Generator

  Tensorflow2 Keras Custom Data Generator

  Language:Jupyter Notebook45

• akashkoppa/StressNet

  Ecosystem-scale transpiration stress formulation using deep learning

  Language:Python108

• shervinea/enzynet

  EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

  Language:Python20193

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k3.3k

• lightningsoon/Residual-Dense-Net-for-Super-Resolution

  Language:Python12

• TianzhongSong/3D-Dense-Residual-Network-for-Action-Recognition

  3D Dense Residual Network for Action Recognition

  Language:Python156

• zhuozhuoweiwei/3D-CNN-based-on-attention-mechanism

  本文采用基于注意力机制的卷积神经神经网络模型来实现对阿尔兹海默症疾病的分类。采用3D卷积对图像进行特征获取，通过在卷积中添加注意力机制，重点关注疾病脑图像中的患病区域，从而提高分类模型的实验精度。

  Language:Python284

• AiviaCommunity/3D-RCAN

  Three-dimensional residual channel attention networks

  Language:Python5016

• hengchuan/RDN-TensorFlow

  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

  Language:Python14447

• zhangkaifang/CBAM-TensorFlow2.0

  CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0

  Language:Python738

• disarm-platform/gapfilling_rasters

  Algorithm to gap fill raster (e.g. remotely sensed) data

  Language:R8

• niecongchong/DANet-keras

  keras-Dual Attention Network for Scene Segmentation

  Language:Jupyter Notebook6734

• laugh12321/3D-Attention-Keras

  This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

  Language:Python4212

• kobiso/CBAM-keras

  CBAM implementation on Keras

  Language:Python361132