pytorch-examples

by Victor I. Afolabi

Table of content

• 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

Contribution

This project is opened under MIT 2.0 license.