├── .gitignore ├── CITATION.cff ├── LICENSE ├── README.md ├── blunder_prediction ├── configs │ ├── leela_blunder_00001.yaml │ ├── leela_extra_blunder_00001.yaml │ ├── leela_grouped_0001.yaml │ └── leela_winrate_loss_00001.yaml ├── cp_to_winrate.py ├── maia_chess_backend │ ├── __init__.py │ ├── bat_files.py │ ├── boardTrees.py │ ├── chunkparser.py │ ├── data_prep.py │ ├── fen_to_vec.py │ ├── games.py │ ├── loaders.py │ ├── logging.py │ ├── maia │ │ ├── __init__.py │ │ ├── chunkparser.py │ │ ├── decode_training.py │ │ ├── lc0_az_policy_map.py │ │ ├── net.py │ │ ├── net_to_model.py │ │ ├── policy_index.py │ │ ├── proto │ │ │ ├── __init__.py │ │ │ ├── chunk_pb2.py │ │ │ └── net_pb2.py │ │ ├── shufflebuffer.py │ │ ├── tfprocess.py │ │ └── update_steps.py │ ├── model_loader.py │ ├── models_loader.py │ ├── new_model.py │ ├── plt_utils.py │ ├── torch │ │ ├── __init__.py │ │ ├── blocks.py │ │ ├── data_utils.py │ │ ├── dataset_loader.py │ │ ├── dataset_loader_old.py │ │ ├── model_loader.py │ │ ├── models.py │ │ ├── new_blocks.py │ │ ├── new_model.py │ │ ├── resnet.py │ │ ├── tensorboard_wrapper.py │ │ ├── utils.py │ │ └── wrapper.py │ ├── tourney.py │ ├── uci.py │ └── utils.py ├── make_csvs.sh ├── make_month_csv.py ├── mmap_csv.py ├── mmap_grouped_csv.py ├── model_weights │ ├── README.md │ ├── leela_blunder_00001-266000.pt │ ├── leela_extra_blunder_00001-234000.pt │ ├── leela_grouped_0001-1372000.pt │ └── leela_winrate_loss_00001-200000.pt └── train_model.py ├── data_generators ├── csv_grouper.py ├── extractELOrange.py ├── filter_csv.py ├── grouped_boards.py ├── grouped_train_test.py ├── make_batch_csv.py ├── make_batch_files.py ├── make_combined_csvs.py ├── make_csvs.sh ├── make_month_csv.py ├── pgnCPsToCSV_multi.py ├── pgnCPsToCSV_single.py ├── run_alternates.sh ├── run_batch_csv_makers.sh ├── run_batch_makers.sh └── run_singles.sh ├── images ├── CP_v_winrate_ELO.png ├── all_lineplot.png ├── delta_human_wr.png ├── delta_top2.png ├── delta_wr2.png ├── leela_lineplot.png ├── maia_lineplot.png ├── models_agreement.png ├── other_effects_lineplot.png └── sf_lineplot.png ├── maia_env.yml ├── maia_weights ├── maia-1100.pb.gz ├── maia-1200.pb.gz ├── maia-1300.pb.gz ├── maia-1400.pb.gz ├── maia-1500.pb.gz ├── maia-1600.pb.gz ├── maia-1700.pb.gz ├── maia-1800.pb.gz └── maia-1900.pb.gz ├── move_prediction ├── lczero-common │ ├── gen_proto_files.sh │ └── proto │ │ ├── chunk.proto │ │ └── net.proto ├── maia_chess_backend │ ├── __init__.py │ ├── bat_files.py │ ├── boardTrees.py │ ├── chunkparser.py │ ├── data_prep.py │ ├── fen_to_vec.py │ ├── games.py │ ├── loaders.py │ ├── logging.py │ ├── maia │ │ ├── __init__.py │ │ ├── chunkparser.py │ │ ├── decode_training.py │ │ ├── lc0_az_policy_map.py │ │ ├── net.py │ │ ├── net_to_model.py │ │ ├── policy_index.py │ │ ├── proto │ │ │ ├── __init__.py │ │ │ ├── chunk_pb2.py │ │ │ └── net_pb2.py │ │ ├── shufflebuffer.py │ │ ├── tfprocess.py │ │ └── update_steps.py │ ├── model_loader.py │ ├── models_loader.py │ ├── new_model.py │ ├── plt_utils.py │ ├── tourney.py │ ├── uci.py │ └── utils.py ├── maia_config.yaml ├── model_files │ ├── 1100 │ │ ├── config.yaml │ │ └── final_1100-40.pb.gz │ ├── 1200 │ │ ├── config.yaml │ │ └── final_1200-40.pb.gz │ ├── 1300 │ │ ├── config.yaml │ │ └── final_1300-40.pb.gz │ ├── 1400 │ │ ├── config.yaml │ │ └── final_1400-40.pb.gz │ ├── 1500 │ │ ├── config.yaml │ │ └── final_1500-40.pb.gz │ ├── 1600 │ │ ├── config.yaml │ │ └── final_1600-40.pb.gz │ ├── 1700 │ │ ├── config.yaml │ │ └── final_1700-40.pb.gz │ ├── 1800 │ │ ├── config.yaml │ │ └── final_1800-40.pb.gz │ └── 1900 │ │ ├── config.yaml │ │ └── final_1900-40.pb.gz ├── pgn_to_trainingdata.sh ├── replication-configs │ ├── defaults │ │ ├── 1200.yaml │ │ ├── 1500.yaml │ │ └── 1800.yaml │ ├── extras │ │ ├── 1000.yaml │ │ ├── 2000.yaml │ │ ├── 2300.yaml │ │ ├── all.yaml │ │ └── double.yaml │ ├── final │ │ ├── 1100_final.yaml │ │ ├── 1200_final.yaml │ │ ├── 1300_final.yaml │ │ ├── 1400_final.yaml │ │ ├── 1500_final.yaml │ │ ├── 1600_final.yaml │ │ ├── 1700_final.yaml │ │ ├── 1800_final.yaml │ │ └── 1900_final.yaml │ ├── final_unfiltered │ │ ├── 1000_final.yaml │ │ ├── 1100_final.yaml │ │ ├── 1200_final.yaml │ │ ├── 1300_final.yaml │ │ ├── 1400_final.yaml │ │ ├── 1500_final.yaml │ │ ├── 1600_final.yaml │ │ ├── 1700_final.yaml │ │ ├── 1800_final.yaml │ │ ├── 1900_final.yaml │ │ └── 2000_final.yaml │ ├── leela_best │ │ ├── 1200.yaml │ │ ├── 1500.yaml │ │ └── 1800.yaml │ ├── new_LR │ │ ├── 1200_LR.yaml │ │ ├── 1200_LR_big_batch.yaml │ │ ├── 1500_LR.yaml │ │ ├── 1500_LR_big_batch.yaml │ │ ├── 1800_LR.yaml │ │ └── 1800_LR_big_batch.yaml │ ├── sweep │ │ ├── 1800_LR.yaml │ │ ├── 1800_policy_value.yaml │ │ ├── 1800_renorm.yaml │ │ └── 1800_swa.yaml │ └── testing │ │ └── example.yaml ├── replication-extractELOrange.py ├── replication-generate_pgns.sh ├── replication-make_leela_files.sh ├── replication-make_testing_pgns.sh ├── replication-move_training_set.py ├── replication-run_model_on_csv.py └── train_maia.py └── 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