PyTorch Lightning Tutorials

Notebooks

• Tutorial 1: Introduction to PyTorch
• Tutorial 2: Activation Functions
• Tutorial 3: Initialization and Optimization
• Tutorial 4: Inception, ResNet and DenseNet
• Tutorial 5: Transformers and Multi-Head Attention
• Tutorial 6: Basics of Graph Neural Networks
• Tutorial 7: Deep Energy-Based Generative Models
• Tutorial 8: Deep Autoencoders
• Tutorial 9: Normalizing Flows for Image Modeling
• Tutorial 10: Autoregressive Image Modeling
• Tutorial 11: Vision Transformers
• Tutorial 12: Meta-Learning - Learning to Learn
• Tutorial 13: Self-Supervised Contrastive Learning with SimCLR
• GPU and batched data augmentation with Kornia and PyTorch-Lightning
• Barlow Twins Tutorial
• PyTorch Lightning Basic GAN Tutorial
• PyTorch Lightning CIFAR10 ~94% Baseline Tutorial
• PyTorch Lightning DataModules
• Fine-Tuning Scheduler
• Introduction to PyTorch Lightning
• TPU training with PyTorch Lightning
• How to train a Deep Q Network
• Finetune Transformers Models with PyTorch Lightning