https://github.com/rey-allan/deep-learning-mini-projects

:brain: Deep Learning Mini Projects using PyTorch.
https://github.com/rey-allan/deep-learning-mini-projects

deep-learning deep-learning-algorithms pytorch

Last synced: 11 months ago
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:brain: Deep Learning Mini Projects using PyTorch.

• Host: GitHub
• URL: https://github.com/rey-allan/deep-learning-mini-projects
• Owner: rey-allan
• Created: 2020-11-27T07:56:01.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-27T08:16:57.000Z (over 5 years ago)
• Last Synced: 2025-02-08T10:45:25.898Z (about 1 year ago)
• Topics: deep-learning, deep-learning-algorithms, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 21.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# deep-learning-mini-projects

:brain: Deep Learning Mini Projects using PyTorch.

These are mini applications of various Deep Learning algorithms in PyTorch. Most of the projects are re-implementations of some of my favorite assignments from Coursera's Deep Learning Specialization. All projects are standalone Jupyter Notebooks that can be executed independently.

## Requirements

- Python 3.8+

- Install dependencies: `pip install -r requirements.txt`

## Projects

- Feed Forward

  - Cat vs Non-cat Classification

- Convolutional

  - Hand Sign Recognition Using CNN

  - Hand Sign Recognition Using ResNet

  - Art Generation Using Neural Style Transfer

- Sequence

  - Dinosaur Name Generation Using RNN

  - Jazz Improvisation Using LSTM

  - Emojifier Using LSTM and Word Embeddings

  - Date Translation Using Neural Machine Translation

- Generative

  - Wardrobe Generation Using DCGAN

  - Wardrobe Generation Using VAE

## Issues

If any of the high-level descriptions or comments about the algorithms and techniques inside the notebooks is wrong, or if you encounter any problems running the projects; let me know!