This release is a pre-release and may not be stable for production use.
RecStudio is a modular, efficient, unified, and comprehensive recommendation library based on PyTorch.We divide all the models into 3 basic classes according to the number of towers: TowerFree, ItemTower, TwoTower, and cover models in 4 tasks: General Recommendation, Sequential Recommendation, Knowledge-based Recommendation, Social-Network-based Recommendation. View github page: https://github.com/ustcml/RecStudio
Metadata
Release files for recstudio 0.0.2a1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| recstudio-0.0.2a1.tar.gz | 97.2 kB | Without provenance | Details for recstudio-0.0.2a1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| recstudio-0.0.2a1-py3-none-any.whl | Python 3 | none | any | Details for recstudio-0.0.2a1-py3-none-any.whl |
Total release size: 228.4 kB
Release files / recstudio-0.0.2a1.tar.gz
| Download URL | recstudio-0.0.2a1.tar.gz |
|---|---|
| Size | 97.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.0
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Release files / recstudio-0.0.2a1-py3-none-any.whl
| Download URL | recstudio-0.0.2a1-py3-none-any.whl |
|---|---|
| Size | 131.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.0
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Security for recstudio 0.0.2a1
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