DLL (Deep Learning Library)
DLL is a deep learning library inspired by TensorFlow and PyTorch. This is my largest project to date, featuring thousands of lines of code. It encompasses a wide range of deep learning and machine learning methods, and includes numerous examples and tests to demonstrate their usage. Feel free to explore the source code and experiment with the models using the documentation.
Documentation:
Checkout the documentation of DLL here.
Installation
One can get an installation of this library by the following command:
pip install PyDLLib
After installation, one can use the library as described in the documentation and in the examples.
Running Tests
To run the tests, one can clone the GitHub repository to a local folder, navigate to the deep-learning-library-folder and use eg. the following command:
python -m Tests.ReinforcementLearning.DeepReinforcementLearning
Feel free to explore the code and apply it to new problems!
Metadata
Release files for PyDLLib 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydllib-1.0.4.tar.gz | 93.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydllib-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 280.9 kB
Release files / pydllib-1.0.4.tar.gz
| Download URL | pydllib-1.0.4.tar.gz |
|---|---|
| Size | 93.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pydllib-1.0.4-py3-none-any.whl
| Download URL | pydllib-1.0.4-py3-none-any.whl |
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| Size | 187.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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