PyTorch Lightning Documentation¶
- Contextual Emotion Detection (DoubleDistilBert)
- Cotatron: Transcription-Guided Speech Encoder
- FasterRCNN object detection + Hydra
- Hyperparameter optimization with Optuna
- Hyperparameter optimization with Ray Tune
- Image Inpainting using Partial Convolutions
- MNIST on TPU
- NER (transformers, TPU)
- NeuralTexture (CVPR)
- Recurrent Attentive Neural Process
- Siamese Nets for One-shot Image Recognition
- Speech Transformers
- Transformers transfer learning (Huggingface)
- Transformers text classification
- VAE Library of over 18+ VAE flavors
- Transformers Question Answering (SQuAD)
- Atlas: End-to-End 3D Scene Reconstruction from Posed Images
- 16-bit training
- Computing cluster (SLURM)
- Child Modules
- Debugging
- Experiment Logging
- Experiment Reporting
- Early stopping
- Fast Training
- Model Hooks
- Hyperparameters
- Learning Rate Finder
- Multi-GPU training
- Multiple Datasets
- Saving and loading weights
- Optimization
- Performance and Bottleneck Profiler
- Single GPU Training
- Sequential Data
- Training Tricks
- Transfer Learning
- TPU support
- Test set
- Inference in Production