This repository features various deep learning models implemented in PyTorch, both from scratch and with built-in modules. Each model is in a separate file for easy understanding and modification. It serves as a learning resource and reference for developing deep learning models with PyTorch.
- Basics of tensors
- Simple DNN model
- Convolutional Neural Network - Image Classification
- Recurrent Neural Network - Sentiment Analysis
- Sequence to Sequence - Machine Translation
- Transformer - Using pre-trained models
- Dataset Creation
- Techniques
- Others
pip install -r requirements.txt
python <model_name>.py