A Multi-Output Regression Framework in Python
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Dec 22, 2020 - Python
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multi-output-regression
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Deep Learning for Multi-Output Regression using Gradient Boosting
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Feb 7, 2024 - Python
Gradient Boosted Neural Network - Multi Output
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Jun 16, 2023 - Python
In This Notebook I've Build a Machine Learning Model to predict the relation between users and restaurants, and this model is piece of my graduation project.
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Dec 24, 2021 - Jupyter Notebook
Condensed-Gradient Boosting
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Jul 24, 2024 - Python
Multi-Output Infinite Horizon Gaussian Process
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Apr 11, 2022 - C++
자율주행 센서의 안테나 성능 예측 AI 경진대회, LG AI Research (2022年08月01日 ~ 2022年08月26日)
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Jun 23, 2024 - Python
Ridge Regression and Random Forest Regression models are build predictive models on the estimation of energy performance of residential buildings.
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Apr 27, 2023 - Jupyter Notebook
Stock Returns Prediction
python machine-learning exploratory-data-analysis regression kaggle kaggle-competiton kaggle-competition stock-price-prediction feature-engineering multi-layer-perceptron principal-component-analysis data-pipeline data-preprocess multi-output-regression random-forest-regressors
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Dec 23, 2020 - Jupyter Notebook
[EUVIP 2021] The official repo for Visual Quality and Security Assessment of Perceptually Encrypted Images based on Multi-Output Deep Neural Network (VSMML)
security encryption deep-learning image-quality scrambling image-quality-assessment multi-output-regression visual-security-assessment perceptual-encryption
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Sep 24, 2021 - Jupyter Notebook
This repository hosts code for a thesis on learning full output distributions of quantum circuits using Transformer-based Graph Neural Networks. It includes dataset generation under noiseless and noisy settings, circuit feature engineering, GNN and CNN modeling, transfer learning across qubit sizes, and model evaluation.
machine-learning deep-learning thesis cnn pytorch quantum-computing transfer-learning extrapolation quantum-machine-learning qiskit qaoa quantum-circuits graph-neural-networks pytorch-geometric gnn distribution-learning graph-transformer multi-output-regression quantum-noise
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Jul 24, 2025 - Jupyter Notebook
Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition
regression emotion eeg affective-computing emotion-recognition valence arousal deap-dataset multi-output-regression ccnn lggnet gameemo
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Jun 9, 2024 - Jupyter Notebook
A personalized finance management tool, use to provide recommendations based on the interests and expenses of the user. Helps in keeping the record of the incomes and expenditures made throughout the year/month.
javascript machine-learning reactjs django-rest-framework random-forest-regression multi-output-regression
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Apr 30, 2025 - JavaScript
This repository contains the resources our team used through the course of the CLEF competition.
random-forest-regressor bird-clef cnn-classification audio-datasets dense-neural-network multi-output-regression clef-aware
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May 27, 2022 - Jupyter Notebook
A multi-target regression algorithm based on Gaussian process regression
machine-learning regression gaussian-processes gpr gaussian-process-regression multi-output multi-target-regression multi-output-regression
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Dec 4, 2023 - R
A project that examines the relationship between MLB teams' payroll and their success on the field.
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Mar 9, 2024 - Jupyter Notebook
Building a multi-input-output CNN to predict airfoil lift coefficients
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Jun 2, 2024 - Jupyter Notebook
Multi-output regression problem done for the prediction of truck axle weights.
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Oct 30, 2024 - Python
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