jpata/particleflow: v3.1.0

What's Changed

• Save hit-based targets for Key4HEP datasets by @jpata in https://github.com/jpata/particleflow/pull/463
• Fix unused parameters in attention layers by @erwulff in https://github.com/jpata/particleflow/pull/462
• standalone hackable model+training, architecture tuning by @jpata in https://github.com/jpata/particleflow/pull/460
• large production run for CLD: v1.2.5_key4hep_2025-05-29 by @jpata in https://github.com/jpata/particleflow/pull/461
• Ray Train[Tune] V2 migration by @erwulff in https://github.com/jpata/particleflow/pull/459
• update readme, tests for sampler and configuration by @jpata in https://github.com/jpata/particleflow/pull/464
• Add SVG diagram for MLPF model by @jpata in https://github.com/jpata/particleflow/pull/468
• added setup files by @jpata in https://github.com/jpata/particleflow/pull/469
• distributed sampler fix by @jpata in https://github.com/jpata/particleflow/pull/467
• CLIC 500k generation with v1.2.5_key4hep_2025-05-29 by @jpata in https://github.com/jpata/particleflow/pull/466
• PyPI publishing workflow by @jpata in https://github.com/jpata/particleflow/pull/471
• update evolution by @jpata in https://github.com/jpata/particleflow/pull/470
• CLIC and CLD checkpoint training 3.1.0 with 500k events per sample by @jpata in https://github.com/jpata/particleflow/pull/473

Full Changelog: https://github.com/jpata/particleflow/compare/v3.0.0...v3.1.0