Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
Temporal Attention Fusion Network with Custom Loss Function for EEG-fNIRS Classification
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
This repository contains code used for the numerical experiments in the Supervised Learning for Integrated Forecasting and Inventory Control paper by Joost F. van der Haar, Arnoud P. Wellens, Robert N. Boute and Rob J.I. Basten.
Predict crypto prices using neural nets + LLM-powered custom loss functions on real Chainlink data (ETH/USD)
Facial Landmark Detection Using Knowledge Distillation-Based Neural Networks
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