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#

hybrid-models

Here are 29 public repositories matching this topic...

Factored inference for discrete-continuous smoothing and mapping.

  • UpdatedFeb 12, 2025
  • C++

Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer IEEE JBHIhttps://ieeexplore.ieee.org/document/10006398

  • UpdatedFeb 11, 2024
  • Jupyter Notebook

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

  • UpdatedMar 2, 2023
  • Jupyter Notebook

Monte Carlo simulation for financial instruments.

  • UpdatedJul 16, 2021
  • Python

COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification

  • UpdatedMay 27, 2025
  • Python
LADA-Detection

This repository enables training Ultralytics object detection models with the anchor-free LADA assignment algorithm and DFL-based regression. Multi-model feature fusion, joint training, and hybrid inference are also supported.

  • UpdatedAug 21, 2025
  • Python

Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".

  • UpdatedSep 15, 2024
  • Python

A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.

  • UpdatedJan 9, 2025
  • Jupyter Notebook

Ancestral sequence reconstruction using generative models

  • UpdatedFeb 1, 2026
  • Python

Time Series Forecasting using Linear Regression, Trend, Seasonality, Hybrid models

  • UpdatedJan 13, 2023
  • Jupyter Notebook

Hybrid quantum–classical neural network for Spanish hate speech detection (HatEval & HaterNet).

  • UpdatedNov 16, 2025
  • Python

Final semester research paper analyzing Quantum CNNs vs. ResNet-50 for medical image classification, developed under deadline pressure using AI-assisted coding tools and neural architecture optimizers. Submitted as coursework to demonstrate quantum-classical hybrid vs. traditional CNN efficacy in diagnostic imaging.

  • UpdatedSep 3, 2025

Forecasted book sales using classical, ML, and DL models (e.g. ARIMA, XGBoost, LSTM)

  • UpdatedAug 15, 2025
  • Jupyter Notebook

A machine learning project to develop a robust Book Recommendation System using collaborative filtering and hybrid approaches. The system predicts user ratings and provides personalized book recommendations, evaluated with metrics like RMSE, Precision, Recall, and F1 Score

  • UpdatedNov 30, 2024
  • Jupyter Notebook

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