explorationRoad

explorationRoad

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Language:Jupyter NotebookLicense:MITStargazers:183Issues:0Issues:0
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Pangu-Weather

An official implementation of Pangu-Weather

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NEOS-LRP-Codes

Codes and datasets for the paper Neural Embedded Optimization for Integrated Location and Routing Problems

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DetectMitigate

Using neural networks to detect effects of rapid climate mitigation

Language:PythonLicense:MITStargazers:4Issues:0Issues:0

ML-testing-networks

A collection of notebooks to test different architectures and LRP methods for precipitation

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influence-of-seasons-on-low-GW-periods

Accompanying repository to the publication: Towards understanding the influence of seasons on low groundwater periods based on explainable machine learning

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precip-predict

Precipitation prediction with Machine Learning

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:4Issues:0Issues:0

GRL2021

Supporting code for Davenport and Diffenbaugh 2021

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PyTorchRelevancePropagation

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.

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explainableMS

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:9Issues:0Issues:0

2DCNN

CNN O3 ensemble forecast

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RL-Baselines

Yet another RL Baseline repo.

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zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

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TorchLRP

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

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LRP_EncoderDecoder_GRU

Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.

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THU-RL-Finalproject

THU-RL-Finalproject

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innvestigate

A toolbox to iNNvestigate neural networks' predictions!

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pcapAE

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.

Language:Jupyter NotebookLicense:MITStargazers:17Issues:0Issues:0

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

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