Evaluating on out-of-distribution samples

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Evaluating on out-of-distribution samples

Data Docs Logs

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Dimensions: 800 × 800
Size: 37.53 KB
Type: .png file
Downloads: 0

Attribution

Use vision capabilities to understand images

fileimage→JSON

1y

15 uses

Create variations of an existing image

fileimage→file

1y

2 uses

Generate 3D assets from a single 2D input image

fileimage→file

1y

1 use

Generate a short video from an image

fileimage→file

1y

1 use

Image-to-image generation for controlled variations of existing images or sketches

fileimage→file

1y

1 use

Convert an image to a different format

fileimage→file

6mo

Compress an image

fileimage→file

6mo

You've seen it all

Join to comment

Overview

Stats

Dimensions: 800 × 800
Size: 37.53 KB
Type: .png file
Downloads: 0

Attribution

Use vision capabilities to understand images

fileimage→JSON

1y

15 uses

Create variations of an existing image

fileimage→file

1y

2 uses

Generate 3D assets from a single 2D input image

fileimage→file

1y

1 use

Generate a short video from an image

fileimage→file

1y

1 use

Image-to-image generation for controlled variations of existing images or sketches

fileimage→file

1y

1 use

Convert an image to a different format

fileimage→file

6mo

Compress an image

fileimage→file

6mo

You've seen it all

Join to comment

Cutting the dataset to train a model only on samples below 100 K, we test the model's ability to predict on materials with true Tc greater than 100 and the results are not good.

ARR license

Cutting the dataset to train a model only on samples below 100 K, we test the model's ability to predict on materials with true Tc greater than 100 and the results are not good.

ARR license

Connections

1

Referenced by

Orb latent space to Tc prediction
After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, @will and I had been thinking about using a VAE

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Connections

1

Referenced by

Orb latent space to Tc prediction
After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, @will and I had been thinking about using a VAE

ActionsTools that work with this file