chore: Pepare v0.6.0 release (#320)

* Fix changelog formatting
* Add changelog section 0.6.0
* Update version to 0.6.0 in pyproject.toml

Author: ValerianRey

CHANGELOG.md

@@ -8,6 +8,8 @@ changes that do not affect the user.
 
 ## [Unreleased]
 
+## [0.6.0] - 2025-04-19
+
 ### Added
 
 - Added usage example showing how to combine TorchJD with automatic mixed precision (AMP).
@@ -17,11 +19,11 @@ changes that do not affect the user.
 - Refactored the underlying optimization problem that `UPGrad` and `DualProj` have to solve to
   project onto the dual cone. This should slightly improve the performance and precision of these
   aggregators.
-- Refactored internal verifications in the autojac engine so that they do not run at runtime
+- Refactored internal verifications in the `autojac` engine so that they do not run at runtime
   anymore. This should minimally improve the performance and reduce the memory usage of `backward`
   and `mtl_backward`.
-- Refactored internal typing in the autojac engine so that fewer casts are made and so that code is
-  simplified. This should slightly improve the performance of `backward` and `mtl_backward`.
+- Refactored internal typing in the `autojac` engine so that fewer casts are made and so that code
+  is simplified. This should slightly improve the performance of `backward` and `mtl_backward`.
 - Improved the implementation of `ConFIG` to be simpler and safer when normalizing vectors. It
   should slightly improve the performance of `ConFIG` and minimally affect its behavior.
 - Simplified the normalization of the Gramian in `UPGrad`, `DualProj` and `CAGrad`. This should

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "pdm.backend"
 
 [project]
 name = "torchjd"
-version = "0.5.0"
+version = "0.6.0"
 description = "Library for Jacobian Descent with PyTorch."
 readme = "README.md"
 authors = [