Lightning-Bolts documentation¶ Start here Installation Introduction Guide Callbacks Monitoring Callbacks Print Table Metrics Data Monitoring in LightningModule Model Verification Torch ORT Callback SparseML Callback 1. Choose your Sparse Recipe 2. Train with SparseMLCallback 3. Export to ONNX! Self-supervised Callbacks BYOLMAWeightUpdate SSLOnlineEvaluator Variational Callbacks Latent Dim Interpolator Vision Callbacks Confused Logit Tensorboard Image Generator DataModules Sklearn Datamodule Sklearn Dataset Class Sklearn DataModule Class Vision DataModules Supervised learning Semi-supervised learning Datasets Debug Datasets DummyDataset DummyDetectionDataset RandomDataset RandomDictDataset RandomDictStringDataset DataLoaders AsynchronousLoader Losses Reinforcement Learning DQN Loss Double DQN Loss Per DQN Loss Models How to use models Predicting on your data Finetuning on your data Train from scratch For research Autoencoders Basic AE Basic VAE Convolutional Architectures GPT-2 Image GPT Pixel CNN UNet Semantic Segmentation GANs Basic GAN DCGAN SRGAN Object Detection Faster R-CNN RetinaNet YOLO Reinforcement Learning Module authors DQN Models Policy Gradient Models Actor-Critic Models Self-supervised Learning Use cases Contrastive Learning Models Classic ML Models Linear Regression Logistic Regression Learning Rate Schedulers Linear Warmup Cosine Annealing Data Processing Self-supervised learning CPC transforms AMDIM transforms MOCO V2 transforms SimCLR transforms Identity class SSL-ready resnets SSL backbone finetuner Semi-supervised learning Balanced classes half labeled batches Tasks Self-supervised Learning FeatureMapContrastiveTask Context prediction tasks Community Contributing PL Bolts Governance | Persons of interest Bolts stability Changelog Indices and tables¶ Index Module Index Search Page