lj512lj512's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
taojy123/KeymouseGo
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
ndrplz/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
hurshd0/must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
nansencenter/DAPPER
Data Assimilation with Python: a Package for Experimental Research
icesat2py/icepyx
Python tools for obtaining and working with ICESat-2 data
johnhw/pfilter
Basic Python particle filter
ujjax/pred-rnn
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
strongio/torch-kalman
THIS PROJECT HAS BEEN MOVED: https://github.com/strongio/torchcast
pranshupant/DL-ROM
Deep Learning for Reduced Order Modelling
Yusufma03/pfrnns
Particle Filter Recurrent Neural Networks (AAAI 2020)
HowieMa/lstm_multi_modal_UNet
[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"
thiery-lab/data-assimilation
Python code for data assimilation methods
xiaoh/DAFI
DAFI: Ensemble based data assimilation and field inversion, repository for internal development
ir-lab/DEnKF
Codebase for paper "Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters", IROS 2023
VHeimhuber/InletTracker
Google Earth Engine-enabled toolkit for automated monitoring of dynamic coastal inlets from public satellite data
TOSSHtoolbox/TOSSH
Toolbox for Streamflow Signatures in Hydrology (TOSSH)
xiejx5/watershed_delineation
global automatic rapid watershed delineation
ymchen0/torchEnKF
Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Journal on Mathematics of Data Science (SIMODS)
CVxTz/IntegratedGradientsPytorch
Integrated gradients attribution method implemented in PyTorch
CAMS-AI/P-UNet_ODiceloss
A NWP precipitation bias correction model based on Unet
alperyeg/enkf-dnn-lod2020
Software Repository accompanying the paper "Ensemble Kalman Filter optimizing Deep NeuralNetworks: An alternative approach to non-performing Gradient Descent"
NDavisK/Grids-versus-Graphs
Graph-based LSTM for taxi demand prediction
DL-WG/LatentAssimilation
ashesh6810/Hybrid-Ensemble-Kalman-Filter
Codes for H-EnKF framework
craigbrinkerhoff/2019_GeoClass
Using River Geomorphology to Better Constrain Bayesian Discharge Estimation
imaodong/sequence-feature-predicton-ML-and-DL
本文使用了基于LSTM的Encoder-Decoder模型、基于Transformer的序列预测模型和本文提出的BeLSTM模型来预测电力变压器油温。
cvelascof/perturbation
Stochastic generators for synthetic precipitation fields.
Textydeep/Kalman-Filters
Ensemble and extended Kalman Filters on the Lorentz equations. A project on data assimilation and retrieval theory.