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Releases: avaskys/skat-ml-models
Releases · avaskys/skat-ml-models
Release list
ELO filtered/weighted transformer models
ELO filtered/weighted transformer models
- bidding transformer: filter on ELO > 950, weighted
- game eval transformer: filter on ELO > 950, weighted
- card play transformer: filter on ELO > 1100 (elite players), no game win filtering
Retrained bidding/cardplay transformers with architecture updates and tweaks
v1.3.0 Bump models release version
v1.2.0 - Fixed ONNX Data References
Fixes broken internal data file references in ONNX models.
Changes
- Re-exported all models with correct internal data file paths
- Removed
card_play_dense(no checkpoint available)
Models
- bidding_dense / bidding_transformer
- game_eval_dense / game_eval_transformer
- card_play_transformer
Breaking Change
card_play_dense is no longer available. Use card_play_transformer instead.
v1.1.0 - Interface Specification
Adds interface specification files for implementing model consumers.
New in v1.1.0
feature_spec.json- Card encoding, tensor shapes, input/output specs for all modelstest_vectors.json- Reference inputs and expected outputs for validation
Models (unchanged from v1.0.0)
- bidding_dense / bidding_transformer
- game_eval_dense / game_eval_transformer
- card_play_dense / card_play_transformer
v1.0.0 - Initial Release
Initial release of ONNX models for Skat ML.
Models included
- bidding_dense / bidding_transformer - Pre-skat bidding evaluation
- game_eval_dense / game_eval_transformer - Post-skat game type selection
- card_play_dense / card_play_transformer - Card play during tricks
Compatibility
- ONNX Runtime 1.19.2+