v0.2.1

This version fixes some bugs and inconveniences.

Changelog:

Changed

• Removed upper cap on numpy version in the dependencies. This makes torchjd compatible with
  the most recent numpy versions too.

Fixed

• Prevented IMTLG from dividing by zero during its weight rescaling step. If the input matrix
  consists only of zeros, it will now return a vector of zeros instead of a vector of nan.

Contributors

• @PierreQuinton
• @ValerianRey