1. Clone the git repo:

git clone https://github.com/whj-tech/DL-Demos.git

2. Run the installation command:

python setup.py develop
pip install -r requirements.txt

It is recommended to create a directory named work_dirs and put temporary results into it.

Demos for deep learning.

1. Logistic Regression
2. Shallow Nerual Network
3. Deep Nerual Network (MLP)
4. Regularization
5. Advanced Optimizer (mini-batch, momentum, Adam)
6. Multiclass Classification with TensorFlow and PyTorch
7. NMS
8. Letter level language model with PyTorch
9. Sentiment analysis using Glove with PyTorch
10. Date translation attention model with PyTorch
11. Transformer cn-en translation with PyTorch

1. VAE with PyTorch
2. VQGAN with PyTorch
3. DDPM with PyTorch
4. PixelCNN with PyTorch
5. VQVAE with PyTorch
6. DDIM with PyTorch

1. Style Transfer with PyTorch
2. PyTorch DDP Demo