> For the complete documentation index, see [llms.txt](https://hypergan.gitbook.io/hypergan/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hypergan.gitbook.io/hypergan/components.md).

# Components

- [GAN](https://hypergan.gitbook.io/hypergan/components/gan.md): Create the domain object map and connect all components.
- [Aligned GAN](https://hypergan.gitbook.io/hypergan/components/gan/aligned-gan.md)
- [Aligned Interpolated GAN](https://hypergan.gitbook.io/hypergan/components/gan/aligned-interpolated-gan.md)
- [Standard GAN](https://hypergan.gitbook.io/hypergan/components/gan/standard-gan.md)
- [Generator](https://hypergan.gitbook.io/hypergan/components/generator.md): Manages the network used to create fake samples.
- [Configurable Generator](https://hypergan.gitbook.io/hypergan/components/generator/configurable-generator.md)
- [DCGAN Generator](https://hypergan.gitbook.io/hypergan/components/generator/dcgan-generator.md)
- [Resizable Generator](https://hypergan.gitbook.io/hypergan/components/generator/resizable-generator.md)
- [Discriminator](https://hypergan.gitbook.io/hypergan/components/discriminator.md): Manages the network used to discriminate real/fake samples.
- [DCGAN Discriminator](https://hypergan.gitbook.io/hypergan/components/discriminator/dcgan-discriminator.md)
- [Configurable Discriminator](https://hypergan.gitbook.io/hypergan/components/discriminator/configurable-discriminator.md)
- [Layers](https://hypergan.gitbook.io/hypergan/components/layers.md)
- [add](https://hypergan.gitbook.io/hypergan/components/layers/add.md)
- [cat](https://hypergan.gitbook.io/hypergan/components/layers/cat.md)
- [channel\_attention](https://hypergan.gitbook.io/hypergan/components/layers/channel_attention.md)
- [ez\_norm](https://hypergan.gitbook.io/hypergan/components/layers/ez_norm.md)
- [layer](https://hypergan.gitbook.io/hypergan/components/layers/layer.md)
- [mul](https://hypergan.gitbook.io/hypergan/components/layers/mul.md)
- [multi\_head\_attention](https://hypergan.gitbook.io/hypergan/components/layers/multi_head_attention.md)
- [operation](https://hypergan.gitbook.io/hypergan/components/layers/operation.md)
- [pixel\_shuffle](https://hypergan.gitbook.io/hypergan/components/layers/pixel_shuffle.md)
- [residual](https://hypergan.gitbook.io/hypergan/components/layers/residual.md)
- [resizable\_stack](https://hypergan.gitbook.io/hypergan/components/layers/resizable_stack.md)
- [segment\_softmax](https://hypergan.gitbook.io/hypergan/components/layers/segment_softmax.md)
- [upsample](https://hypergan.gitbook.io/hypergan/components/layers/upsample.md)
- [Loss](https://hypergan.gitbook.io/hypergan/components/loss.md): Losses define how the error signals are interpreted for the two GAN players.
- [ALI Loss](https://hypergan.gitbook.io/hypergan/components/loss/ali-loss.md): layer add for configurable component
- [F Divergence Loss](https://hypergan.gitbook.io/hypergan/components/loss/f-divergence-loss.md)
- [Least Squares Loss](https://hypergan.gitbook.io/hypergan/components/loss/least-squares-loss.md)
- [Logistic Loss](https://hypergan.gitbook.io/hypergan/components/loss/logistic-loss.md)
- [QP Loss](https://hypergan.gitbook.io/hypergan/components/loss/qp-loss.md): https://arxiv.org/abs/1811.07296
- [RAGAN Loss](https://hypergan.gitbook.io/hypergan/components/loss/ragan-loss.md)
- [Realness Loss](https://hypergan.gitbook.io/hypergan/components/loss/realness-loss.md)
- [Softmax Loss](https://hypergan.gitbook.io/hypergan/components/loss/softmax-loss.md)
- [Standard Loss](https://hypergan.gitbook.io/hypergan/components/loss/standard-loss.md)
- [Wasserstein Loss](https://hypergan.gitbook.io/hypergan/components/loss/wasserstein-loss.md)
- [Latent](https://hypergan.gitbook.io/hypergan/components/latent.md): Describes a prior distribution that feeds to a generator
- [Uniform Distribution](https://hypergan.gitbook.io/hypergan/components/latent/uniform-distribution.md)
- [Trainer](https://hypergan.gitbook.io/hypergan/components/trainer.md): Trains the GAN object.
- [Alternating Trainer](https://hypergan.gitbook.io/hypergan/components/trainer/alternating-trainer.md)
- [Simultaneous Trainer](https://hypergan.gitbook.io/hypergan/components/trainer/simultaneous-trainer.md)
- [Balanced Trainer](https://hypergan.gitbook.io/hypergan/components/trainer/balanced-trainer.md)
- [Accumulate Gradient Trainer](https://hypergan.gitbook.io/hypergan/components/trainer/accumulate-gradient-trainer.md)
- [Optimizer](https://hypergan.gitbook.io/hypergan/components/optimizer.md): Optimizers move weights along gradients.  They are managed by the trainer.
- [Train Hook](https://hypergan.gitbook.io/hypergan/components/trainhook.md): Train hooks provide training events and loss modification to trainers.
- [Adversarial Norm](https://hypergan.gitbook.io/hypergan/components/trainhook/adversarial-norm.md): Custom research
- [Weight Constraint](https://hypergan.gitbook.io/hypergan/components/trainhook/weight-constraint.md)
- [Stabilizing Training](https://hypergan.gitbook.io/hypergan/components/trainhook/stabilizing-training.md): https://github.com/rothk/Stabilizing\_GANs
- [JARE](https://hypergan.gitbook.io/hypergan/components/trainhook/jare.md): https://arxiv.org/abs/1806.09235
- [Learning Rate Dropout](https://hypergan.gitbook.io/hypergan/components/trainhook/learning-rate-dropout.md): https://arxiv.org/abs/1912.00144
- [Gradient Penalty](https://hypergan.gitbook.io/hypergan/components/trainhook/gradient-penalty.md): https://arxiv.org/pdf/1704.00028.pdf
- [Rolling Memory](https://hypergan.gitbook.io/hypergan/components/trainhook/rolling-memory.md): (no paper)
- [Other GAN implementations](https://hypergan.gitbook.io/hypergan/components/other-gan-implementations.md): Linked with awe