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RYDE-WORK/lnp_ml
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lnp_ml/lnp_ml/modeling
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Michelle0474 182f7853d7 Merge branch 'feat/moe-layer' of github-michelle:RYDE-WORK/lnp_ml into feat/moe-layer
# Conflicts:
#	lnp_ml/modeling/layers/llm_prompt.py
2026-06-22 19:46:05 +08:00
..
encoders
Initial commit
2026-01-18 21:50:21 +08:00
layers
feat: integrate MolT5 LLM encoder and fix desc dim
2026-06-22 19:39:24 +08:00
__init__.py
Initial commit
2026-01-18 21:50:21 +08:00
benchmark.py
Fallback
2026-02-28 18:29:07 +08:00
final_train_optuna_cv.py
Add Mixture-of-Experts (MoE) layer support across modeling pipeline
2026-05-26 15:26:18 +08:00
heads.py
feat(training): size 头正则化(dropout+weight_decay)与 size z-score,更新消融汇总
2026-06-20 02:45:00 +00:00
models.py
feat: integrate MolT5 LLM encoder and fix desc dim
2026-06-22 19:39:24 +08:00
nested_cv_optuna.py
feat: integrate MolT5 LLM encoder and fix desc dim
2026-06-22 19:39:24 +08:00
predict.py
feat: integrate MolT5 LLM encoder and fix desc dim
2026-06-22 19:39:24 +08:00
pretrain.py
feat(moe): MoE + MolT5 LLM 融合层、消融流水线
2026-06-18 08:51:30 +00:00
trainer_balanced.py
feat(training): size 头正则化(dropout+weight_decay)与 size z-score,更新消融汇总
2026-06-20 02:45:00 +00:00
trainer.py
Add Mixture-of-Experts (MoE) layer support across modeling pipeline
2026-05-26 15:26:18 +08:00
visualization.py
Add loss visualization
2026-01-23 13:40:22 +08:00
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