regularisation

There are 0 repository under regularisation topic.

TomographicImaging / CCPi-Regularisation-Toolkit
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
regularization regularisation inverse-problems denoising reconstruction gpu image-reconstruction tomography iterative-reconstruction
Language:C 60
dkazanc / ToMoBAR
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
reconstruction regularization inverse-problems artifacts x-ray astra-toolbox fista admm model-based regularisation multigpu cupy tomographic-reconstruction tomography
Language:Python 52
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?
data-fitting label-noise outlier reweighting-examples generalisation regularisation
Language:Shell 10
osvalB / dynamicLightScatteringAnalysis
Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
dynamic-light-scattering analysis autocorrelation biophysics fitting regularisation tikhonov-philips diffusion-coefficient hydrodynamic-radius l-curve
Language:Jupyter Notebook 8
rharish101 / DLGeneralization
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"
machine-learning deep-learning deep-neural-networks inception-v3 regularisation
Language:Python 6
KISysBio / OPLRAreg
Mixed Integer Piecewise Regression Algorithm with Regularisation
algorithm regularisation integer-programming piecewise mathematical-programming qsar
Language:Python 5
JBris / pymc-horseshoe
Horseshoe regression model fitted in PyMC.
bayesian-inference bayesian-statistics horseshoe horseshoe-prior pymc sparse-regression regularisation shrinkage shrinkage-priors
Language:Jupyter Notebook 3
prathmachowksey / Multivariate-Polynomial-Regression
Multivariate Polynomial Regression using gradient descent with regularisation
regression gradient-descent python regularisation polynomial-regression multivariate-regression multivariate-polynomial-regression
Language:Python 3
JaPitt / GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
matlab optimization regularization parameter-estimation modelling modeling optimisation regularisation parameter-identification model-calibration cross-validation model-fitting
Language:MATLAB 2
saumya-guptaa / ISCO-630E
python3 machine-learning soft-computing numpy matplotlib linear-regression locally-weighted-regression pca lda naive-bayes-classifier fuzzy-logic regularisation
Language:Jupyter Notebook 2
bgonzalezbustamante / demo-regularisation
Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R
regularisation cross-validation shrinkage-methods democracy
Language:R 1
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).
sentiment-analysis sentiment-classification binary multiclass-classification text language-processing regularisation stochastic-gradient-descent logistic-regression regression
Language:Jupyter Notebook 1
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.
house-price-prediction lasso-regression linear-regression python regularisation ridge-regression
Language:Jupyter Notebook 1
tim-hub / RegularisedLinearRegression
a small machine learning theory practice.
machine-learning linear-regression regularisation
Language:Jupyter Notebook 1
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.
image-manipulation image-recognition tensorboard-visualizations dropout regularisation tensorflow convolutional-neural-networks
Language:Jupyter Notebook 0
dsalorio / predicting_car_prices
Various regularized regression models for predicting car prices, using web scraped data
linear-regression regularisation cross-validation webscraping
Language:Jupyter Notebook 0
fkempf92 / JacobianRegularisation
Jacobian regularisation for neural networks (PyTorch) and hyperparameter tuning with Skorch
pytorch skorch jacobian regularisation
Language:Python 0
different_processings_for_ML
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.
pca-analysis pca regularisation regularisation-methods ridge-regression ridge variable-selection variables ols-regression dimensionality-reduction dimensional-analysis dimensionality-reduction-technique principal-component-analysis principal-components principal-component-analysis-pca
Language:Jupyter Notebook 0
sumantchopdata / speed_dating_prediction
Predicting whether two persons meeting in a speed dating event get matched using deep learning methods
binary-classification dating deep-learning gradient-clipping regularisation
Language:Python 0
Ashutosh27ind / CIFAR-10_ImageClassificationusingCNN
In this project we will build multiple CNN models for CIFAR-10 Image Classification
cifar-10-dataset cnn deep-learning hyperparameter-tuning image-classification keras nimblebox regularisation
Language:Jupyter Notebook
GoodBoy962 / MachineLearning
Repo for machine learning classes
machine-learning normalization regularisation regression-models elastic-net
Language:Jupyter Notebook
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.
regularisation svm
Language:Jupyter Notebook
Ninad077 / Machine_Learning-Gradient_descent_with_Logistic_Regression
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
classification cost-function decision-boundary gradient-descent overfitting regularisation sigmoid-function underfitting
Language:Jupyter Notebook
prathmachowksey / Multivariate-Linear-Regression
linear-regression gradient-descent stochastic-gradient-descent normal-equation regularisation python multivariate-regression
Language:Python
saumya-guptaa / DeepLearning.ai-Coursera
A series of Online Courses Offered by deeplearning.ai on Coursera.
deep-learning ai machine-learning python3 python jupyter-notebook tensorflow keras keras-tensorflow neural-network recurrent-neural-networks convolutional-neural-networks logistic-regression regularisation hyperparameter-optimization deep-neural-networks hyperparameter-tuning adam-optimizer
Language:Jupyter Notebook

regularisation

TomographicImaging / CCPi-Regularisation-Toolkit

dkazanc / ToMoBAR

XinshaoAmosWang / DerivativeManipulation

osvalB / dynamicLightScatteringAnalysis

rharish101 / DLGeneralization

KISysBio / OPLRAreg

JBris / pymc-horseshoe

prathmachowksey / Multivariate-Polynomial-Regression

JaPitt / GEARS

saumya-guptaa / ISCO-630E

bgonzalezbustamante / demo-regularisation

jkerai1 / Text-Classification-with-Logistic-Regression

sahidul-shaikh / housing-price-prediction-with-ridge-and-lasso-regularisation

tim-hub / RegularisedLinearRegression

abhinavthapper31 / waste-classification-CNN-Image-Augmentation

dsalorio / predicting_car_prices

fkempf92 / JacobianRegularisation

Jean-Lcs / different_processings_for_ML

sumantchopdata / speed_dating_prediction

Ashutosh27ind / CIFAR-10_ImageClassificationusingCNN

GoodBoy962 / MachineLearning

lokhande-vishnu / SVM-and-regularization-effects

Ninad077 / Machine_Learning-Gradient_descent_with_Logistic_Regression

prathmachowksey / Multivariate-Linear-Regression

saumya-guptaa / DeepLearning.ai-Coursera