Trained network weights for the paper "Compositionally restricted attention-based network for materials property predictions (CrabNet)"

WINA: Weighted Network Inference

Minghui Wang
Bin Zhang

September 2016

WINA: Weighted Network Inference Please use a more recent version available at doi:10.7303/syn72212...

POC detection training data and weights

Duncan Watson-Parris
Sam Sutherland

July 2022

The data and labels used to train the POC detection algorithm used in support of this publication: h...

RainNet: pretrained model and weights

Ayzel, Georgy

January 2020

RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contai...

Trained network weights for the paper "Compositionally restricted attention-based network for materials property predictions (CrabNet)"

Wang, Anthony Yu-Tung
Kauwe, Steven K.
Murdock, Ryan J.
Sparks, Taylor D.

March 2021

Trained network weights for the paper "Compositionally restricted attention-based network for materi...

Compositionally restricted attention-based network for materials property predictions

Wang, Anthony Yu-Tung
Kauwe, Steven K.
Murdock, Ryan J.
Sparks, Taylor D.

May 2021

In this paper, we demonstrate an application of the Transformer self-attention mechanism in the cont...

Deep Learning approach towards Precipitation Nowcasting: Model weights

Beutler, Tarek

June 2022

In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...

The latest version of code for this paper, neural network model weights, Quebec and Labrador dense neural network lichen map, and training data can be accessed through GitHub: https://github.com/galenrichardson/Lichensen2modelcompare/, accessed on July 28, 2023.

Galen Richardson (17419550)
Anders Knudby (492541)
Wenjun Chen (176385)
Michael Sawada (58007)
Julie Lovitt (17419553)
Liming He (419765)
Leila Yousefizadeh Naeni (17419556)

November 2023

The latest version of code for this paper, neural network model weights, Quebec and Labrador dense n...

NNModel

Stosiek, Matthias

October 2022

The weights and history of training a neural network for the Machine Learning for Materials Science ...

Pre-Trained Models for GearNet

Zuobai Zhang

February 2023

These are model weights of GearNet pre-trained with Multiview Contrast, Residue Type Prediction, Dis...

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction - Datasets

Schürholt, Kontantin
Kostadinov, Dimche
Borth, Damian

November 2021

Datasets to NeurIPS 2021 accepted paper "Self-Supervised Representation Learning on Neural Network W...

Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Revisiting the Hall-Petch Relationship using Machine Learning"

Yejun Gu
‪Christopher D. Stiles
Jaafar A. El-Awady

April 2023

Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Re...

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Moriarty, Alexander
Morita, Kazuki
Butler, Keith T.
Walsh, Aron

July 2022

UnlockNN provides an API to add uncertainty quantification to Keras-based models and comes packaged ...

Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction"

Schweidtmann, Artur
Rittig, Jan G.
Weber, Jana M.
Grohe, Martin
Dahmen, Manuel
Leonhard, Kai
Mitsos, Alexander

January 2023

# Physical pooling functions in graph neural networks for molecular property prediction This is the...

Weights for Aspect-Controlled Neural Argument Generation

Schiller, Benjamin
Daxenberger, Johannes
Gurevych, Iryna

May 2020

This collection includes trained weights for the controlled argument generation models which were fi...

NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)

Linfeng Yang

August 2020

This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Lea...

WINA: Weighted Network Inference

Minghui Wang
Bin Zhang

September 2016

WINA: Weighted Network Inference Please use a more recent version available at doi:10.7303/syn72212...

POC detection training data and weights

Duncan Watson-Parris
Sam Sutherland

July 2022

The data and labels used to train the POC detection algorithm used in support of this publication: h...

RainNet: pretrained model and weights

Ayzel, Georgy

January 2020

RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contai...

Trained network weights for the paper "Compositionally restricted attention-based network for materials property predictions (CrabNet)"

Wang, Anthony Yu-Tung
Kauwe, Steven K.
Murdock, Ryan J.
Sparks, Taylor D.

March 2021

Trained network weights for the paper "Compositionally restricted attention-based network for materi...

Compositionally restricted attention-based network for materials property predictions

Wang, Anthony Yu-Tung
Kauwe, Steven K.
Murdock, Ryan J.
Sparks, Taylor D.

May 2021

In this paper, we demonstrate an application of the Transformer self-attention mechanism in the cont...

Deep Learning approach towards Precipitation Nowcasting: Model weights

Beutler, Tarek

June 2022

In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...

The latest version of code for this paper, neural network model weights, Quebec and Labrador dense neural network lichen map, and training data can be accessed through GitHub: https://github.com/galenrichardson/Lichensen2modelcompare/, accessed on July 28, 2023.

Galen Richardson (17419550)
Anders Knudby (492541)
Wenjun Chen (176385)
Michael Sawada (58007)
Julie Lovitt (17419553)
Liming He (419765)
Leila Yousefizadeh Naeni (17419556)

November 2023

The latest version of code for this paper, neural network model weights, Quebec and Labrador dense n...

NNModel

Stosiek, Matthias

October 2022

The weights and history of training a neural network for the Machine Learning for Materials Science ...

Pre-Trained Models for GearNet

Zuobai Zhang

February 2023

These are model weights of GearNet pre-trained with Multiview Contrast, Residue Type Prediction, Dis...

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction - Datasets

Schürholt, Kontantin
Kostadinov, Dimche
Borth, Damian

November 2021

Datasets to NeurIPS 2021 accepted paper "Self-Supervised Representation Learning on Neural Network W...

Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Revisiting the Hall-Petch Relationship using Machine Learning"

Yejun Gu
‪Christopher D. Stiles
Jaafar A. El-Awady

April 2023

Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Re...

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Moriarty, Alexander
Morita, Kazuki
Butler, Keith T.
Walsh, Aron

July 2022

UnlockNN provides an API to add uncertainty quantification to Keras-based models and comes packaged ...

Software for "Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction"

Schweidtmann, Artur
Rittig, Jan G.
Weber, Jana M.
Grohe, Martin
Dahmen, Manuel
Leonhard, Kai
Mitsos, Alexander

January 2023

# Physical pooling functions in graph neural networks for molecular property prediction This is the...

Weights for Aspect-Controlled Neural Argument Generation

Schiller, Benjamin
Daxenberger, Johannes
Gurevych, Iryna

May 2020

This collection includes trained weights for the controlled argument generation models which were fi...

NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)

Linfeng Yang

August 2020

This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Lea...

WINA: Weighted Network Inference

Minghui Wang
Bin Zhang

September 2016

WINA: Weighted Network Inference Please use a more recent version available at doi:10.7303/syn72212...

POC detection training data and weights

Duncan Watson-Parris
Sam Sutherland

July 2022

The data and labels used to train the POC detection algorithm used in support of this publication: h...

RainNet: pretrained model and weights

Ayzel, Georgy

January 2020

RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contai...

Trained network weights for the paper "Compositionally restricted attention-based network for materials property predictions (CrabNet)"

Abstract

Extracted data

Trained network weights for the paper "Compositionally restricted attention-based network for materials property predictions (CrabNet)"

Abstract

Extracted data

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