 Janis
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95537bc709
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feat: Add Lichess eval importer and metadata for NNUE architecture
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2026-04-16 18:50:30 +02:00 |
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Janis
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8db2c8ca7f
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feat: Allow configurable hidden layer sizes for NNUE architecture
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2026-04-16 18:50:28 +02:00 |
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Janis
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8fb872e958
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feat: Implement dataset versioning and management for NNUE training data
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2026-04-16 18:50:22 +02:00 |
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Janis
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01c8a0f8fe
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feat: add metadata files for NNUE weights versions and implement burst training functionality with subsampling options
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2026-04-16 18:50:02 +02:00 |
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Janis
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5d4cf5f13c
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feat: add hybrid bot implementation and enhance NNUE training pipeline with tactical data extraction
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2026-04-16 18:50:00 +02:00 |
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Janis
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a5560285fd
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feat: enhance training and evaluation processes with new parameters and normalization options
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2026-04-16 18:50:00 +02:00 |
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Janis
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34945e4fb8
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feat: enhance nnue.py and train.py with options for existing labels and improved file handling
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2026-04-16 18:49:59 +02:00 |
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Janis
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adc2de23bc
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feat: add rich console interface for NNUE training pipeline and update requirements
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2026-04-16 18:49:59 +02:00 |
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Janis
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b25be99dcf
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feat: integrate NNUE bot and add Python training pipeline with weight export functionality
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2026-04-16 18:49:58 +02:00 |
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Janis
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6a9ac55b31
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feat: refactor AlphaBetaSearch and ClassicalBot for improved evaluation and organization
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2026-04-16 18:49:58 +02:00 |
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