Basic information
Implementation code for a mixture of models. The source code for the problem of the mixture of models and the task of the mixture of experts is presented.
All methods were implemented based on pytorch for simple parallelization by using cuda.
All information about this project can be found in the documentation.
Requirements and Installation
A simple instruction of installation using pip is provided near the source code.
More information about installation can be found in documentation installation page.
Example of use
A simple examples of module usage can be found in documentation example page.
1 maintainer
Metadata
1 maintainer
Release files for mixturelib 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mixturelib-0.4.0.tar.gz | 10.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mixturelib-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / mixturelib-0.4.0.tar.gz
| Download URL | mixturelib-0.4.0.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
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Release files / mixturelib-0.4.0-py3-none-any.whl
| Download URL | mixturelib-0.4.0-py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 3 |
|
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/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
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