About

Different Deep Learning tasks solved using PyTorch models.

Tasks / Models:

Computer Vision:

• Image Classification
• Semantic Segmentation
• Object Detection
• Style Transfer
• Image Captioning

Natural Language Processing

• Word Embeddings
• Text Classification
• Sequence Labeling
• Language Modeling
• 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