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