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https://github.com/dayyass/pytorch-tutorials

Different Deep Learning tasks solved using PyTorch models.
https://github.com/dayyass/pytorch-tutorials

computer-vision convolutional-neural-networks deeplearning natural-language-processing pytorch reccurent-neural-networks reinforcement-learning transformers

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Different Deep Learning tasks solved using PyTorch models.

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### About
Different Deep Learning tasks solved using PyTorch models.

### Tasks / Models:
#### Computer Vision:
- [x] [Image Classification](tutorials/01_pytorch_lenet_mnist.py)
- [ ] Semantic Segmentation
- [ ] Object Detection
- [x] [Style Transfer](https://github.com/dayyass/style_transfer)
- [x] [Image Captioning](https://github.com/dayyass/image_captioning)
#### Natural Language Processing
- [ ] Word Embeddings
- [x] [Text Classification](https://github.com/dayyass/text-classification-baseline)
- [x] [Sequence Labeling](https://github.com/dayyass/pytorch_ner)
- [x] [Language Modeling](https://github.com/dayyass/language_modeling)
- [x] [Machine Translation](https://github.com/dayyass/neural_machine_translation)
- [ ] Topic Modeling
- [ ] Text Summarization
#### Reinforcement Learning
- [ ] Deep Q-Network (DQN)
- [ ] Rainbow
- [ ] Advantage Actor Critic (A2C)
- [ ] Proximal Policy Optimization (PPO)
#### Generative Models:
- [ ] Variational Autoencoder (VAE)
- [ ] Generative Adversarial Network (GAN)

### Getting Started
```
# clone repo
git clone https://github.com/dayyass/pytorch_tutorials.git

# install dependencies
cd pytorch_tutorials
pip install -r requirements.txt
```