loss-function-optimization

Here are 2 public repositories matching this topic...

amurlaniakea / thalmle

Experimental T-HAL-MLE R package (AGPL-3.0-or-later)

data-science machine-learning statistical-inference ai-safety lasso-regression explainable-ai advanced-machine-learning ai-alignment highly-adaptive-lasso mathematical-optimization loss-function-optimization statistical-inference-for-data-science agentic-ai nonparametric-estimation semiparametric-statistics verified-evidence

Updated Oct 7, 2026
R

tk-yasuno / damage_encoder_dgm

Star

This project implements a Darwin-Gödel Machine (DGM) self-improvement framework to optimize class weights for imbalanced bridge damage classification. The system uses LLM-based coding agents to iteratively propose weight configurations, evaluated through LoRA fine-tuning on a Japanese BERT-large model.

hyperparameter-optimization lora imbalanced-learning structural-health-monitoring experiment-automation bridge-maintenance loss-function-optimization class-weighting coding-agent darwin-godel-machine self-improvement-ai bert-large-japanese-v2 automated-code-optimization damage-cause-encoder

Updated Aug 12, 2026
Python

Add this topic to your repo

To associate your repository with the loss-function-optimization topic, visit your repo's landing page and select "manage topics."

Learn more