FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion

This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering (WWW'22)

Implementation of Boosting Certified $\ell_\infty$-dist Robustness with EMA Method and Ensemble Model

Biendata astradata competition 1st place solution. (https://www.biendata.com/competition/astrodata2019/)

This repository serves as a template for creating new projects based on FusionBench. It includes all the necessary configurations and boilerplate code to get started quickly.

Model ensemble: ResNet + FPN, and Focal Loss in TensorFlow2

[網路安全的資料科學 108-2@NCCU] 惡意程式偵測 - 使用靜態分析與模型集成

To address the impact of rising house prices on the economy, we built a machine learning model resistant to market trends. We experimented with Random Forest and Linear Regression models, employing sophisticated imputation methods like median state price replacement, KNN imputation, and forward/backward filling to minimize errors.

TFPNER: Exploration on the Named Entity Recognition of Token Fused with Part-of-Speech

A full-stack machine learning architecture for food delivery ETA prediction, leveraging a DVC-driven pipeline, automated CI/CD workflows, cloud artifact management, and LGBM-based stacked regression ensemble for high-fidelity time estimations.

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."