PN 6

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tio2.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 13.4 KB - MD5: 4c0a987ee23a9936cead9b9983ea03f2
trainer.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 7.7 KB - MD5: e6a640a4d9ac9519921e84f82da54520
train.py.default Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 192 B - MD5: 74a3e011f307bfbfe9f80f61504c0cd4
utils.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 5.4 KB - MD5: e031f8dc92eb579663a3121c9919b3ba
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Oct 5, 2021 - PN 6-6 Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/DARUS-2174, DaRUS, V1 We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.
1README.md Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Markdown Text - 6.5 KB - MD5: 68f130a767c01781ac014ef8b22e15e0
200414_cylinder-300-2-basic-paper.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 5.7 KB - MD5: 01ec21f3e3f07f33187b224dca902de7
200817_cylinder-300-2-basic_all-metrics.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 1.1 KB - MD5: 5c7f9cd6a0100ffcabad2f08c9dbc9f4
20200817-153710_cluster-1125_200817_cylinder-300-2-basic_all-metrics.zip Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" ZIP Archive - 320.0 MB - MD5: 4036d79b7568f32af4997ada8dce8887
app.html Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" HTML - 25.2 KB - MD5: db2af53609e7f330d7a7213a8ed648b8

tio2.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Unknown - 13.4 KB -

trainer.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 7.7 KB -

train.py.default

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Unknown - 192 B -

utils.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 5.4 KB -

Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Oct 5, 2021 - PN 6-6

Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/DARUS-2174, DaRUS, V1

We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.

1README.md

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Markdown Text - 6.5 KB -

200414_cylinder-300-2-basic-paper.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 5.7 KB -

200817_cylinder-300-2-basic_all-metrics.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 1.1 KB -

20200817-153710_cluster-1125_200817_cylinder-300-2-basic_all-metrics.zip

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

ZIP Archive - 320.0 MB -

app.html

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

HTML - 25.2 KB -

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