https://github.com/chandar-lab/PatchUp

convolutional-neural-network pytorch regularization-methods

Last synced: 06 May 2025

https://github.com/rpatrik96/lod-wmm-2019

Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019

deep-learning deep-learning-algorithms deep-neural-networks generalization overfitting pytorch pytorch-implementation regularization regularization-methods weight-matrix weight-reinitialization weight-shuffling wmm

Last synced: 19 Jun 2025

https://github.com/laminetourelab/drug-discovery

I am working on the discovery of new potential therapeutic tagets using Machine learning on multi-omics data.

autoencoder-classification deep-learning drug-discovery graph-convolutional-networks longitudinal-data machine-learning multimodal-data neural-network ngs-pipeline pytorch regularization-methods target

Last synced: 18 Jun 2025

https://github.com/ashishpatel26/regularization-collection-deeplearning

This is Collection of Regularization Deep learning techniques with code and paper

alphadropout deeplearning dropout dropout-keras dropout-probability dropout-pytorch l1-normalization l2normalization machinelearning regularization regularization-hyperparameters regularization-methods

Last synced: 02 Jan 2026

https://github.com/krystynagrzesiak/gslope

Sparse Gaussian graphical models with Sorted L-One Penalized Estimation

graphical-models high-dimensional-data regularization-methods sparse-modeling

Last synced: 14 Nov 2025

https://github.com/sushmitha-93/cmpe275---machine-learning-assigments-and-labs

Machine Learning Course Topic wise Assignments and Projects

artficial-neural-network classification-algorithm clustering-algorithm convolutional-neural-networks machine-learning natural-language-processing numpy pandas plotly python regression-algorithms regularization-methods sentiment-analysis sklearn tensorflow time-series-analysis

Last synced: 30 Dec 2025

https://github.com/lironmiz/machine-learning-specialization-course

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost

Last synced: 02 Apr 2025

https://github.com/richardd3ng/image-reconstruction

Digital Image Reconstruction

discrete-cosine-transform image-reconstruction jupyter-notebook python regression-algorithms regularization-methods

Last synced: 22 Aug 2025

https://github.com/dipterix/spfda

Functional Group Bridge for Simultaneous Regression and Support Estimation (https://arxiv.org/abs/2006.10163)

function-on-scalar-regression regularization-methods sparse

Last synced: 31 Mar 2025

https://github.com/andersoncrs/prediccion-del-precio-de-vehiculos-un-enfoque-con-regresion-lineal-y-regularizacion

Este proyecto tiene como objetivo predecir el precio de vehículos usados utilizando técnicas de regresión lineal y regularización Lasso. A través del análisis y procesamiento de datos, se construye un modelo predictivo preciso e interpretable basado en las características más relevantes de cada vehículo.

data-analysis data-exploration lasso-regression machine-learning polinomial-regression regularization-methods

Last synced: 03 Jul 2025

https://github.com/edserranoc/inverse_problems_course

Inverse Problems Course.

bayesian-inference mcmc-sampling regularization-methods variational-inference

Last synced: 09 Apr 2025

https://github.com/artzaragozagithub/nn--predicting_customers_likely_to_abandon_bank_services

Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

eda keras-classification-models matplotlib-library nn numpy-library pandas-library regularization-methods seaborn-library tensorflow

Last synced: 20 Feb 2025

https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market

This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions

cross-validation elasticnet-regression lasso-regression-model machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas python regularization-methods regularization-to-avoid-overfitting ridge-regression-model seaborn standardization

Last synced: 08 Jul 2025

https://github.com/isaqueiros/newspapersales-predictions-linearregression_and_regularisation

This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression.

data-analysis data-science linear-regression machine-learning python regularization-methods sklearn-library sklearn-linear-regression

Last synced: 25 Mar 2025

https://github.com/shimazadeh/neural_networks

the implementation of a multilayer perceptron

backpropagation dropout feedforward-neural-network gradient-descent machine-learning neural-network optuna regularization-methods

Last synced: 14 Jul 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/andersoncrs/regularizacion_lasso_en_modelos_de_regresion_lineal

Este repositorio contiene un análisis detallado sobre la implementación de la regularización Lasso en modelos de regresión lineal para predecir el precio de vehículos. Se parte de un conjunto de datos limpio y se aplican diversas transformaciones y modelados para mejorar la precisión de las predicciones.

data-analysis data-science data-visualization jupyter-notebook linear-regression regularization-methods seaborn sklearn

Last synced: 22 Mar 2025

https://github.com/alecruces/saferoadsca

Analyzing car accident fatalities to pave the way for preventative measures and safer transportation using Statistical and Machine Learning algorithms

knn-classification logistic-regression regularization-methods

Last synced: 14 Apr 2025

https://github.com/srosalino/prediction_of_seoul_bikes_demand

The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible

cross-validation data-exploration-and-preprocessing hyperparameter-tuning machine-learning regularization-methods scikit-learn

Last synced: 25 Feb 2025

https://github.com/jacksonwalters/regularization-neural-networks

use various regularization techniques to minimize energy in neural networks

neural-networks regularization regularization-methods regularization-techniques

Last synced: 20 Sep 2025