Deeplearning_Playland is a repository containing Docker images that
- Allows you to setup your deep learning development environment with any hassle
- supports almost all commonly used deep learning frameworks
- Supports Both Nvidia GPU acceleration (CUDA 11.4.2 and cuDNN 8) and in CPU-only mode
- Works on Linux , Windows and OS X
- Supports Python version 3.8
| . Deep Learning Packages | GPU Verisons | CPU version |
|---|---|---|
| ubuntu | 20.04 | 20.04 |
| cuda | 11.4.2 | ❌ |
| cudnn | 8 | ❌ |
| theano | 1.0.5 | 1.0.5 |
| tensorflow | 2.4 | 2.4 |
| pytorch | 1.7.1 | 1.7.1 |
| keras | 2.4.3 | 2.4.3 |
| darknet | ✔️ |
| Python Packages | Version |
|---|---|
| OpenCV (GPU and CPU acceleraeted support) | 4.5 |
| numpy | 1.19.4 |
| pandas | 1.1.5 |
| scikit-learn | 0.23.2 |
| matplotlib | 3.3.3 |
| seaborn | 0.11.0 |
| h5py | 2.10.0 |
| jupyterlab | |
| nltk | 3.5 |
@misc{naich2020AIplayland,
author = {Ammar Yasir Naich},
title = {AIPlayland: Creating a deep learning environment with out any hassle.},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/ammaryasirnaich/Deeplearning_Playland}}
}
Deeplearning Playland is MIT licensed