All Packages

Package Summary

Package	Description
io.github.kirstenali.deepj.activations
io.github.kirstenali.deepj.autograd
io.github.kirstenali.deepj.chatui
io.github.kirstenali.deepj.cli
io.github.kirstenali.deepj.concurrent
io.github.kirstenali.deepj.data
io.github.kirstenali.deepj.examples
io.github.kirstenali.deepj.inference
io.github.kirstenali.deepj.layers
io.github.kirstenali.deepj.layers.transformer
io.github.kirstenali.deepj.layers.transformer.attention
io.github.kirstenali.deepj.layers.transformer.blocks
io.github.kirstenali.deepj.layers.transformer.norm
io.github.kirstenali.deepj.loss
io.github.kirstenali.deepj.nn	Neural networks composed from DeepJ tensors, layers, autograd and backend operations.
io.github.kirstenali.deepj.nn.transformer
io.github.kirstenali.deepj.nn.transformer.loop
io.github.kirstenali.deepj.nn.transformer.nova
io.github.kirstenali.deepj.nn.transformer.orbit
io.github.kirstenali.deepj.nn.transformer.origin
io.github.kirstenali.deepj.nn.transformer.prism
io.github.kirstenali.deepj.optimisers
io.github.kirstenali.deepj.persistence
io.github.kirstenali.deepj.publishing
io.github.kirstenali.deepj.tensor
io.github.kirstenali.deepj.tensor.cpu
io.github.kirstenali.deepj.tensor.metal
io.github.kirstenali.deepj.tokenizers
io.github.kirstenali.deepj.tokenizers.bpe
io.github.kirstenali.deepj.training
io.github.kirstenali.deepj.transformer
io.github.kirstenali.deepj.transformer.embeddings