DVSNet : Dynamic Virtual Space generation neural Network. Author: Bin CAO <bcao686@connect.hkust-gz.edu.cn> Guangzhou Municipal Key Laboratory of Materials Informatics, Advanced Materials Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, Guangdong, China
Please feel free to open issues in the Github : https://github.com/Bgolearn/VSGenerator
DVSNet is an associated neural network for the Bgolearn project. Thank you for choosing Bgolearn for material design.
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Release files for VSGenerator 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| VSGenerator-0.1.0.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| VSGenerator-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.6 kB
Release files / VSGenerator-0.1.0.tar.gz
| Download URL | VSGenerator-0.1.0.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.11.7
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Release files / VSGenerator-0.1.0-py3-none-any.whl
| Download URL | VSGenerator-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/5.1.1 CPython/3.11.7
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