Deep Draken
Deep Draken aims to provide a framework for developing Deep Learning Models in Image Domain. It currently supports Pytorch and have implementations for image generation algorithems like:
- GAN
- CGAN
- WGAN
- WGANGP
Installation
1. Basic Installation
You can install DeepDraken's latest release by using pip. The command is as follows:
pip3 install deepdraken
The experimental features have tensorflow dependencies and needs to be installed seperately.
pip install tensorflow>=2.0.0
pip install tensorflow-hub==0.12.0
2. Installation from Source
If you plan to be using more advanced features that currently not available in the python library, you need to install a DeepDraken from github. The following command will install the latest version of DeepDraken from the main branch.
git clone https://github.com/DevavratSinghBisht/deepdraken.git
pip install --upgrade pip
cd deepdraken
pip install ./
3. Learn More
You can find out more about our PyPi package on our PyPi page.
Tutorials
Tutorials will be added soon.
Release files for deepdraken 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deepdraken-0.0.1.tar.gz | 18.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deepdraken-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.4 kB
Release files / deepdraken-0.0.1.tar.gz
| Download URL | deepdraken-0.0.1.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.11
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Release files / deepdraken-0.0.1-py3-none-any.whl
| Download URL | deepdraken-0.0.1-py3-none-any.whl |
|---|---|
| Size | 21.9 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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.11
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