Topic: regularisation Goto Github
Some thing interesting about regularisation
Some thing interesting about regularisation
regularisation,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.
User: abhinavthapper31
regularisation,In this project we will build multiple CNN models for CIFAR-10 Image Classification
User: ashutosh27ind
regularisation,Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R
User: bgonzalezbustamante
Home Page: https://doi.org/10.5281/zenodo.5708892
regularisation,TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
User: dkazanc
Home Page: https://dkazanc.github.io/ToMoBAR/
regularisation,Various regularized regression models for predicting car prices, using web scraped data
User: dsalorio
regularisation,Jacobian regularisation for neural networks (PyTorch) and hyperparameter tuning with Skorch
User: fkempf92
regularisation,Repo for machine learning classes
User: goodboy962
regularisation, GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
User: japitt
Home Page: https://japitt.github.io/GEARS/
regularisation,Horseshoe regression model fitted in PyMC.
User: jbris
regularisation,In this project, we use differents methods to transform our dataset (usually dimension modification) before making prediction thanks to machine learning and regressions.
User: jean-lcs
regularisation,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).
User: jkerai1
regularisation,Mixed Integer Piecewise Regression Algorithm with Regularisation
Organization: kisysbio
regularisation,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.
User: lokhande-vishnu
regularisation,Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
User: ninad077
regularisation,Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
User: osvalb
regularisation,Multivariate Polynomial Regression using gradient descent with regularisation
User: prathmachowksey
regularisation,My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"
User: rharish101
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.
User: sahidul-shaikh
regularisation,A series of Online Courses Offered by deeplearning.ai on Coursera.
User: saumya-guptaa
regularisation,Predicting whether two persons meeting in a speed dating event get matched using deep learning methods
User: sumantchopdata
Home Page: https://www.kaggle.com/datasets/ulrikthygepedersen/speed-dating/data
regularisation,a small machine learning theory practice.
User: tim-hub
regularisation,The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Organization: tomographicimaging
regularisation,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?
User: xinshaoamoswang
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.