ProfwareSystems/artdata-ml-process-control

Machine Learning in Process Control

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samresume/EnergyPredictor-Kaggle

This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofits, enabling fair billing and encouraging investment in energy efficiency.

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Saneachka/Regression-of-rental-apartment-prices

Regression of apartment rental prices

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mayankmittal29/TensorTinker_Statistical_Methods_in_AI

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

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Srindot/Deepnn-Average-Flight-Data-for-FWUAV

This project involves training a Multi-Layer Perceptron (MLP) model on flapping wing UAV flight data. The model predicts aerodynamic characteristics (lift and induced drag) based on design parameters and flight conditions.

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FraLiturri/ML-Project

Repository for Monk solver and MLP NN for ML exam.

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WalidAlsafadi/House-Prices

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

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Leonard2310/TrendAnalysisAgriTech

Project on Trend Analysis on Pest Occurrence Using Meteorological Data - Information Systems and Business Intelligence (MEng), supervised by Prof. F. Amato, PhD A. Moccardi and PhD M. Fonisto (2024)

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piekarsky/Short-Term-Electricity-Price-Forecasting-at-the-Polish-Day-Ahead-Market

Modeling time series of electricity spot prices using Deep Learning.

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bp0609/MLP-Performance-On-Different-Tasks

This repository focuses on evaluating the performance of Multilayer Perceptrons (MLPs) on various machine learning tasks and comparing them with alternative models. It includes implementations of MLPs with regularization, feature engineering techniques, and visualization tools like decision boundaries and t-SNE.

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Secilia-Cxy/SOFTS

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

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joviiee/ml_regression_problems

Various projects solving regression problems using machine learning.

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Shaswat2001/INN_Continuum_Robot

Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)

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RoyWeiiiii/Scope_1_Digitalised-prediction-of-blue-pigment-content-from-Spirulina-platensis

The findings in the present study will be a breakthrough for the estimation of CPC concentration from S. platensis solely based on the information provided in the image without the need to perform a prior extraction process and identification of CPC concentration using analytical equipment.

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MJAHMADEE/MLP_Regression

Multi-Layer Perceptron, MLP, Regression

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arianaira/MLP-regressor

Experimenting with different architectures of MLP to predict students scores

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afan0918/Neural-Network

A lightweight neural network framework in C

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Galtan-dev/Honey-dataset-procesing

Basic data procesing on Honey dataset

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RLungWu/DesignLens

An interior detection and interior budget detection based on VGG16

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Mehrab-Kalantari/Airfoil-Lift-Coefficient-Prediction

Building a multi-input-output CNN to predict airfoil lift coefficients

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farazkhancodes/Predictive-Modelling-of-Multimodal-Single-Cell-Genomic-Data-with-Machine-Learning-Algorithms

This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell

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myhub/uc

uc 一款专注于数据分析的神经网络

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Spogis/EasyKerasMLP

Easy Keras MLP

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Gurpremm/rxnpredict-using-sklearn-python

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TejasTidke/Classification-of-Fashion-Clothing-Dataset-Using-MLP

Classification into 10 categories of Fashion-Mnist Data "Hello-world" program for machine learning

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bhanu-kanamarlapudi/Covid_19-Michigan

Michigan Covid-19 prediction

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ctrl-alt-bruno/mackenzie-deep-learning

Exercícios do Módulo de Associação e Regressão do Curso de Pós-Graduação Lato Senso Mackenzie.

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esramelikecakir/Integration-of-Machine-Learning-and-Social-Media-Data-for-Stock-Price-Prediction

This project delves into the intriguing realm of how thoughts and information shared on platforms like Twitter wield influence over financial markets.

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MrTejas/ML-Algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

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parissashahabi/Applicant-Project-Score-Prediction

Developed a model to predict project scores based on technical aptitude test results. Cleaned and normalized the data, then applied regression analysis to forecast grades.

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parissashahabi/Spotify-Music-Energy-Estimation

Predictive modeling project analyzing Spotify's Persian music dataset to estimate track energy using machine learning techniques, specifically MLP regressor and Linear Regression.

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parissashahabi/Travel-Insurance-Prediction

Developed a predictive model to forecast travel insurance subscriptions using MLP Classifier and Logistic Regression after data analysis and preprocessing in Python.

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AjNavneet/RealEstate_PredictiveAnalysis_Pune

Real-estate price predictive analysis using Regression, RF , XGBoost and MLP models coded in scikit-learn and TensorFlow.

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MarkVoitov/usd_rates_prediction

Построение различных моделей линейной регрессии для предсказания курса доллара

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dilettagoglia/impl-NN-from-scratch

🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.

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MBKraus/Predicting_real_estate_prices_using_scikit-learn

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Language: Python - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 142 - Forks: 51

melissa135/mlp_stock

Stock price prediction using ensemble MLP in PyTorch.

Language: Python - Size: 240 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 33 - Forks: 17

vishu-tyagi/Regression-Competition

Kaggle Competition - Large-scale Deep Neural Network regressor for predicting trip duration of Uber rides

Language: Python - Size: 47 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ahmadj1801/NBA-Predictions

Python scripts that can be used to identify outstanding players for a given season as well as predict the output of a game given two teams

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srikanth2102/IPL_SCORE_PREDICTION

This project focuses on predicting the IPL scores using Machine learning models with the use of Python using Scikit Learn Library. The model predicts the score after a minimum of 5 overs. The score on Testing data was 94.17%.

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RahulAnkola/DemandDynamics

Using Deeplearning to dynamically predict future 3 months sales based on previous sales record.

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AyushShahh/fespn

A neural network made to predict final exam scores of students

Language: Python - Size: 192 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

RFLeijenaar/Hydrodynamic-Imaging

Hydrodynamic image with the artificial lateral line using physics-informed informed neural networks and other proven methods in 2D dipole localization.

Language: Python - Size: 331 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

AdSattikar/ML-DL

Repo for machine Learning and Deep Learning Projects

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Enzo2806/MLP-CNN

We implemented a Multi-Layer Perceptron (MLP) model from scratch and compared its performance based on image classification accuracy on the "Fashion-MNIST" dataset to the performance of the Tensorflow Keras library's Convolutional Neural Network (CNN).

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afan0918/MLP

用java寫的MLP，總程式不到一千行，可使用主流十幾種激勵函數。

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jhendric98/mlpregression

Linear regression in Keras MLP implemented in Docker as a bundled REST API.

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MortezaEmadi/Behavioral-Data-Mining-of-Occupants-Energy-Consumption

Identification, Recommendation, & Ranking of Occupants' Behavioral Energy - Master's Thesis

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PatrickDabkowski/Life_Expectancy_Analysis

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mounalab/Multivariate-time-series-forecasting-keras

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

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cgsdfc/huawei-cup19-problem-e

Partial solutions to the problem E of the Huawei Cup

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smlpt/MLP-Tool

A simple GUI wrapper for the scikit-learn MLPRegressor method to train, evaluate and export MLP networks.

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lmriccardo/moments-learning

Repository for the First-Second Moments Learning project. In this repo you will find an implementation of a learning model to learn the relationship between time-series model parameters and the first two moments of its outputs

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emso-c/multi-layer-perceptron

A Multilayer perceptron written in pure Python

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Hitbee-dev/hci_mlp

HCI연구실 MLP 테스트

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mohsenfayyaz/nn-course-ut

Neural Networks course assignments @ University of Tehran

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wassima-manssour/california-house-price-prediction

Comparing different ML models for regression to predict the house prices using the California dataset provided by scikit learn.sc

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samanemami/AdaBoost_NN

Building Boosted ensemble with shallow neural network

Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

RFLeijenaar/ML-Covid-forecasting

C implementation of a Multilayer perceptron with gradient descent through explicit backpropagation for use in time-series prediction tasks. The project targets forecasting of Covid-19 data.

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alirezashadmani/Machine-Learning-Initial

Initial understanding of machine learning techniques

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aastopher/NN_SHAP_Exploration

Exploration of SHAP visualisations with Keras Multi Layered Perceptron (MLP), Classifiers, and Regresors using seaborn datasets.

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ioanachelaru/software-effort-estimation

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akurgat/energy_trading_prediction

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parham1998/Mackey_Glass_Time_Series

Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python

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deepGio/ANNFromScratch

Building a Neural Network from scratch using Tensorflow

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FanChiMao/Competition-2021-Pytorch-Reggression

IMBD 2021 Data Regression by MLP

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hosnaa/Learning-Based-Computer-Vision

This repo contains the assignments workload for the computer vision course in the MSc degree

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Lucastmarques/fine-tuning-house-price

A MLP model to predict house prices using Fine Tuning Technique

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nbswords/sklearn-mlp

Examples of MLPClassifier and MLPRegressor

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xdurfina/heart_disease_prediction

Heart disease prediction

Language: Python - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ficusrobusta/scikit-learn_ML_Projects

scikit-learn ML

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ficusrobusta/Protein-Binding-Affinity-Next-Generation-Sequencing-Data-Analysis

Data science project, analysing NGS data from a binding study,

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bitan1998/ANN-TRAINING-USING-DIFERENTIAL-EVOLUTION

Multiple randomized ANN are being generated that is being taken from user input(total number of ANN) then we have approached one of the nature-inspired-algorithms such as DIFFERENTIAL-EVOLUTION(DE) on a soil-content-dataset to prove that it has better prediction and optimising values other than some well defined algorithms such as SUPPORT-VECTOR-REGRESSION(SVR) and MLP-REGRESSOR.

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mohdahmad242/EmoInt

Prediction of intensity or degree of the emotion of the given text.

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fabiocarrara/pivoted-estimation

Code to reproduce 'Learning Distance Estimators from Pivoted Embeddings of Metric Objects'.

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GinoAvanzini/IA2_2019

Trabajos prácticos de la cátedra Inteligencia Artificial 2 de Ingeniería en Mecatrónica - UNCuyo

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abdullahalsaidi16/NeuaralNet

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

maxxx580/kaggle-salary-analysis

salary analysis and regression based on Kaggle data scientist survey

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Srinivasankrishnan27/UsedCars

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