PN 6-6

SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"

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11 to 20 of 111 Results

roadmap.txt Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Plain Text - 1.0 KB - MD5: 1dc3ea7fc1c6f628a52ee0bf4be0657a
setup.cfg Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Unknown - 40 B - MD5: 298df73b5a1c392b5b17c4ce26904215
setup.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 819 B - MD5: 5b46b4264acfc62e9d3abb47b254f8c5
specs.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 5.9 KB - MD5: be360cc7a260a6c7f0554dc06cb24042
test_utils.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 1.7 KB - MD5: 944da57768e7387b31125606182181e6
.travis.yml Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Unknown - 296 B - MD5: 2c64f372c34df4ba2fdd842e7e585df5
utils.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 1.8 KB - MD5: f2146b1319a4f136413b4673f57805e1
utils_test.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 1.6 KB - MD5: a7637c3ef2cde69ee73f9ad2d3dda91a
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Oct 5, 2021 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

roadmap.txt

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Plain Text - 1.0 KB -

setup.cfg

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Unknown - 40 B -

setup.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 819 B -

specs.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 5.9 KB -

test_utils.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 1.7 KB -

.travis.yml

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Unknown - 296 B -

utils.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 1.8 KB -

utils_test.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 1.6 KB -

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

Oct 5, 2021

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 -

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