Version 1.0.0

First official release of Self-Mod 🎉

• README properly updated
• More than 10 examples included
• Hoping for more collaborator

To-Dos for future releases 📋

• Document the code
• Remove dead code
• Etc.

Version 0.0.9

Final pre-release version before official release.

Version 0.0.8

This is the mixer algorithm, but still quick and dirty.

Version 0.0.7

Closest version to ICLR25 submission

Version 0.0.6

Backup before massive modifications to the Learner and Trainers for PALM and SPRING

Version 0.0.5

Backup of everything before returning to CelebA with inf dim

Version 0.0.4

• Implemented CAVIA
• Finished experimenting with CelebA
• Ready to incorporate forced pendulum and other physical systems

Version 0.0.3

• Got rid of all infinite dimensional NCF (moved to a new repo)
• Single focus on self-modulation (more targeted towards regression)

Version 0.0.2

v0.0.2

Seld-modulation seems to really help CelebA, but how do we scale ?

Version 0.0.1

Just a backup of infinite-dimensional neural context flows