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)

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.

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

Stock price prediction using ensemble MLP in PyTorch.

Repository of my master’s thesis "Development and evaluation of a model for predicting the state of health of traction batteries based on artificial neural networks"

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

Simple MLP implementation for a simple regression model

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

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

A neural network made to predict final exam scores of students

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…

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

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

Easy Keras MLP

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

Data collection, analysis and regression of luxury hand bag prices

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

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

A Multilayer perceptron written in pure Python

Prezicerea varstei abalone dintr-o baza de date cu masuratori fizice, folosind MLP (perceptron multistrat) si tratand problema ca una de regresie.