Connex v0.3.3

Small changes to types to comply with Python 3.9

Connex v0.3.2

This release fixes a shape mismatch bug in applying neuron-level self-attention.

Connex v0.3.1

This release fixes a bug in applying adaptive activations, where previously the adaptive activation parameters were incorrectly vmap-ed.

Connex v0.3.0

The main changes are:

• Making key a keyword-only argument in a NeuralNetwork's __call__ method
• Removing set_dropout_p from the NeuralNetwork class: Instead of network.set_dropout_p(...), write connex.set_dropout_p(network, ...).
• Bumping the minimum Python version to 3.9

Connex v0.2.1

set_dropout_p has been moved to the plasticity module

v0.2.0

This release is a major rewrite of the library, greatly improving memory efficiency and performance.

v0.1.4

Use networkx instead of numpy for topological batching, making it significantly faster.

v0.1.3

• Added option for group-wise output activations, e.g. softmax.
• Export network to NetworkX graph for network analysis/debugging.

v0.1.2

Internally changed topological batching to use numpy instead of jax.numpy, making it significantly faster.

v0.1.1

Internal changes, mainly restructuring the forward pass for performance.