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Welcome to AutoCast
Installation
API Reference
Models
autocast.models.encoder_decoder
autocast.models.encoder_processor_decoder
autocast.models.autoencoder
autocast.models.variational_autoencoder
autocast.models.processor
Processors
autocast.processors.base
autocast.processors.unet
autocast.processors.swin_vit
autocast.processors.vit
autocast.processors.flow_matching
autocast.processors.diffusion
autocast.processors.noise
Encoders
autocast.encoders.base
autocast.encoders.dc
autocast.encoders.unet
autocast.encoders.identity
Decoders
autocast.decoders.base
autocast.decoders.dc
autocast.decoders.identity
Data
autocast.data.datamodule
autocast.data.dataset
autocast.data.encoded_dataset
autocast.data.metadata
Metrics
autocast.metrics.base
autocast.metrics.deterministic
autocast.metrics.ensemble
autocast.metrics.coverage
Losses
autocast.losses.ensemble
Types
autocast.types.types
autocast.types.batch
Neural Network Utilities
autocast.nn.residual
autocast.nn.spatial_attention
Utilities
autocast.utils.optimizer
autocast.utils.plots
Benchmarking
autocast.benchmarking.inference
Logging
autocast.logging.wandb
Repository
Open issue
.md
.pdf
Types
Types
#
Type definitions, tensor shape aliases, and batch dataclasses.
