regularisation
There are 25 repositories under regularisation topic.
dkazanc/ToMoBAR
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
TomographicImaging/CCPi-Regularisation-Toolkit
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
XinshaoAmosWang/DerivativeManipulation
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?
rharish101/DLGeneralization
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"
osvalB/dynamicLightScatteringAnalysis
Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
KISysBio/OPLRAreg
Mixed Integer Piecewise Regression Algorithm with Regularisation
JBris/pymc-horseshoe
Horseshoe regression model fitted in PyMC.
prathmachowksey/Multivariate-Polynomial-Regression
Multivariate Polynomial Regression using gradient descent with regularisation
JaPitt/GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
bgonzalezbustamante/demo-regularisation
Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R
jkerai1/Text-Classification-with-Logistic-Regression
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 classification).
sahidul-shaikh/housing-price-prediction-with-ridge-and-lasso-regularisation
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.
tim-hub/RegularisedLinearRegression
a small machine learning theory practice.
abhinavthapper31/waste-classification-CNN-Image-Augmentation
A model to classify images of waste products as Organic or Recyclable. Applied Image Augmentation to images and used basic CNN to classify images using Keras. Analysed the performance using Tensorboard. Detected over fitting using metric curves (accuracy) and addressed it using Dropout Regularization.
dsalorio/predicting_car_prices
Various regularized regression models for predicting car prices, using web scraped data
fkempf92/JacobianRegularisation
Jacobian regularisation for neural networks (PyTorch) and hyperparameter tuning with Skorch
Jean-Lcs/different_processings_for_ML
In this project, we use differents methods to transform our dataset (usually dimension modification) before making prediction thanks to machine learning and regressions.
sumantchopdata/speed_dating_prediction
Predicting whether two persons meeting in a speed dating event get matched using deep learning methods
Ashutosh27ind/CIFAR-10_ImageClassificationusingCNN
In this project we will build multiple CNN models for CIFAR-10 Image Classification
GoodBoy962/MachineLearning
Repo for machine learning classes
lokhande-vishnu/SVM-and-regularization-effects
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.
Ninad077/Machine_Learning-Gradient_descent_with_Logistic_Regression
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
saumya-guptaa/DeepLearning.ai-Coursera
A series of Online Courses Offered by deeplearning.ai on Coursera.