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DL-Demos

> 编程语言
Open source

Demos for deep learning

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About

Demos for deep learning

Installation

  1. Clone the git repo:
bash
git clone https://github.com/SingleZombie/DL-Demos.git
  1. Run the installation command:
bash
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.

Description

Demos for deep learning.

Project

Andrew Ng Deep Learning Specialization

  1. Logistic Regression
  2. Shallow Nerual Network
  3. Deep Nerual Network (MLP)
  4. Parameter Initialization
  5. Regularization
  6. Advanced Optimizer (mini-batch, momentum, Adam)
  7. Multiclass Classification with TensorFlow and PyTorch
  8. NumPy Convolution 2D
  9. Basic CNN
  10. ResNet
  11. NMS
  12. My YOLO model
  13. Letter level language model with PyTorch
  14. Sentiment analysis using Glove with PyTorch
  15. Date translation attention model with PyTorch
  16. Transformer cn-en translation with PyTorch

Generative Model

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

Others

  1. Style Transfer with PyTorch
  2. PyTorch DDP Demo
  3. Fourier Feature

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> Tags

Python

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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