The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

• UpdatedNov 29, 2024
• C

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

• UpdatedMar 11, 2025
• Python

In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?

• UpdatedMar 4, 2021
• Shell

Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation

• UpdatedJul 12, 2023
• Jupyter Notebook

My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"

• UpdatedDec 15, 2017
• Python

Mixed Integer Piecewise Regression Algorithm with Regularisation

• UpdatedOct 23, 2020
• Python

Horseshoe regression model fitted in PyMC.

• UpdatedMar 14, 2024
• Jupyter Notebook

Multivariate Polynomial Regression using gradient descent with regularisation

• UpdatedMay 9, 2020
• Python

GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga

• UpdatedNov 20, 2018
• MATLAB

• UpdatedOct 24, 2020
• Jupyter Notebook

The use case is an application of the regularization technique such as Ridge and Lasso for building a linear regression model for housing price prediction.

• UpdatedJan 13, 2021
• Jupyter Notebook

Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R

• UpdatedFeb 13, 2022
• R

a small machine learning theory practice.

• UpdatedSep 16, 2018
• Jupyter Notebook

The goal of this project is to develop and test two text classification systems: Task 1: sentiment analysis, in particular to predict the sentiment of movie review, i.e. positive or negative (binary classification). Task 2: topic classification, to predict whether a news article is about International issues, Sports or Business (multiclass class…

• UpdatedMar 5, 2023
• Jupyter Notebook

Repo for machine learning classes

• UpdatedOct 23, 2017
• Jupyter Notebook

Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation

• UpdatedMay 6, 2024
• Jupyter Notebook

A series of Online Courses Offered by deeplearning.ai on Coursera.

• UpdatedJun 18, 2020
• Jupyter Notebook

In this project we will build multiple CNN models for CIFAR-10 Image Classification

• UpdatedJan 16, 2022
• Jupyter Notebook

The purpose of this study is to visualise and see how changing the regularisation constant affects svm classification. SVM with linear kernel has been used.

• UpdatedApr 26, 2017
• Jupyter Notebook

In this project, we use differents methods to transform our dataset (usually dimension modification) before making prediction thanks to machine learning and regressions.

• UpdatedFeb 28, 2022
• Jupyter Notebook