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Jiarui Li 88cccdad2e feat: Optimize AUC evaluation with parallel processing
2025-10-20 16:16:50 +08:00
.gitattributes
feat: Add training and validation data via Git LFS
2025-10-16 14:24:56 +08:00
.gitignore
feat: Add multi-GPU training and improve config/ignore
2025-10-17 14:09:34 +08:00
best_model_n_embd_120_n_layer_12_n_head_12.pt
feat: Add model checkpoints and configurations
2025-10-20 09:38:24 +08:00
best_model_n_embd_256_n_layer_16_n_head_16.pt
feat: Add model checkpoints and configurations
2025-10-20 09:38:24 +08:00
config_n_embd_120_n_layer_12_n_head_12.json
feat: Add model checkpoints and configurations
2025-10-20 09:38:24 +08:00
config_n_embd_256_n_layer_16_n_head_16.json
feat: Add model checkpoints and configurations
2025-10-20 09:38:24 +08:00
delphi_labels_chapters_colours_icd.csv
add evaluation scripts.
2025-10-18 13:26:56 +08:00
evaluate_auc.py
feat: Optimize AUC evaluation with parallel processing
2025-10-20 16:16:50 +08:00
evaluate_models.ipynb
update evaluate
2025-10-20 13:47:50 +08:00
GEMINI.md
feat: Implement time-aware GPT-2 for patient event prediction
2025-10-16 14:21:36 +08:00
LICENSE
Initial commit
2025-10-15 13:54:52 +08:00
models.py
refactor: Update survival loss calculation in CombinedLoss
2025-10-18 15:21:10 +08:00
prepare_data.py
feat: Implement time-aware GPT-2 for patient event prediction
2025-10-16 14:21:36 +08:00
README.md
Initial commit
2025-10-15 13:54:52 +08:00
requirements.txt
feat: Optimize AUC evaluation with parallel processing
2025-10-20 16:16:50 +08:00
train_iter.py
feat: Add load_model function and update training script
2025-10-18 11:07:59 +08:00
train.py
feat: Add command-line arguments to train.py
2025-10-18 10:23:12 +08:00
ukb_real_train.bin
feat: Add training and validation data via Git LFS
2025-10-16 14:24:56 +08:00
ukb_real_val.bin
feat: Add training and validation data via Git LFS
2025-10-16 14:24:56 +08:00
utils.py
update evaluate
2025-10-20 13:47:50 +08:00

README.md

DeepHealth

Description
No description provided
Readme BSD-3-Clause 145 MiB
Languages
Python 60.9%
Jupyter Notebook 39.1%