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Blocks
Squeeze and Excitation
Heads3D
MBConv3D
Transformer
CNN
Image Readers
SafeTensorsReader
Layers
Embeddings
Attention
Latent Space
Upsample / Downsample
Codebook
Loss Functions
ClassBalancedCrossEntropyLoss
Metrics
Detection
Nets
Perceiver3D
UperNet3D
DETR3D
MaxViT3D
FPN3D
SymSwin3D
SwinV23D
ViT3D
UNetR3DDecoder
UperNet2D
FPN2D
CaiT3D
Swin3D
Schedulers
Noise
Sigmoid
Cyclic
Learning Rate Schedulers
Transforms
CropPad
Clipping
Spatial
Resize
Utils
Clamping / Clipping
Bounding Boxes
Pipeline Parallelism
Residual Connections
Normalizations
Rearrange
ActivationCheckpointing
Tensor Splitter and Merger
CustomBaseModel
Exponential Moving Average (EMA)
Timesteps
Activations
API Reference
Metrics
Metrics
#
This section documents the metrics components.
Detection