- 01 - What is Pytorch?
- 02 - Autograd: automatic differentiation
- 03 - Neural Networks
- 04 - Training a classifier
- 05 - Learning PyTorch with Examples
- 06 - Transfer Learning
- 07 - Data Loading and Processing
- 08 - Deep Learning for NLP with Pytorch
- 09 - Classifying Names with a Character-Level RNN
- 10 - Generating Names with a Character-Level RNN
- 11 - Translation with Sequence to Sequence Network and Attention
- 12 - Reinforcement Learning (DQN)
- 13 - Spatial Transformer Networks
- 14 - Neural Transfer with PyTorch
- 15 - Creating extensions using numpy and scipy
- 16 - Custom C extensions for PyTorch
This project is opened under MIT 2.0 license.