hurshd0/must-read-papers-for-ml

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

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gavinsimpson/gratia

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

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nicholasjclark/mvgam

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Language: R - Size: 985 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 153 - Forks: 15

m-clark/generalized-additive-models

A document introducing generalized additive models.📈

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nicholasjclark/physalia-forecasting-course

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

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LCBC-UiO/galamm

An R package for estimating generalized additive mixed models with latent variables

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hendersontrent/GAM.jl

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

Language: Julia - Size: 128 KB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 28 - Forks: 4

anishsingh20/Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Language: R - Size: 3.26 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 24

m-clark/generalized-additive-models-workshop-2019

A workshop on using generalized additive models and the mgcv package.

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gavinsimpson/schoenberg 📦

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

Language: R - Size: 262 KB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 2

SelfExplainML/GamiNet Fork of ZebinYang/gaminet

GAMI-Net: Generalized Additive Models with Structured Interactions

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poloclub/gam-coach

Personal coach to help you obtain desired AI decisions!

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TomStog/curved-text-alignment

A function that takes as input a cropped text line image, and outputs the dewarped image.

Language: Python - Size: 1.39 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 15 - Forks: 3

chrismainey/GAMworkshop

GAM workshop for NHS-R Community Conference 2023

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stefanocoretta/gamm-workshop

An introduction to GAM(M)s

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TomStog/Infrared-BP

The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial video" publication. The code developed is to fit the data to the reference Blood Pressure values.

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QCBSRworkshops/workshop08

Workshop 8 - Generalized additive models (GAMs)

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satyakamacodes/Exploring-the-non-linear-relationship-between-Crimes-and-GDP-using-Generalized-Additive-Models

This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on aggregate the overall crime situation in the country has considerably improved in the last decade or so. A number of previous studies across other countries have shown a positive or negative relationship between crime and economic growth. On a microeconomic/provincial scale, this paper studies the relationship between various categories of crimes and economic growth using the non-linear modeling technique of Generalized Additive Models. Such a modeling approach helps in understanding how various categories of crimes complexly affect GDP.

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hsbadr/additive

Bindings for Additive TidyModels

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JoKra1/mssm

Toolbox to estimate and automatically regularize Generalized Additive Mixed Models and their extensions in Python

Language: Python - Size: 34.2 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 7 - Forks: 0

TomStog/Infrared-SpO2

The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication

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3DGenomes/binless

Resolution-independent normalization of Hi-C data

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ngiangre/kidsides

a database for pediatric drug safety signals

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cbrummitt/machine_learned_patterns_in_economic_development

Paper on identifying patterns in economic development using statistical learning

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davidruegamer/deepregression

Fitting Semi-Structured Deep Distributional Regression in R

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m-clark/stars

structured additive regression models talk

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paulnorthrop/gamlssx

Generalised Additive Extreme Value Models for Location, Scale and Shape

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clissa/Statistical_Learning Fork of amacaluso/Statistical_Learning

Overview of statistical learning methods for classification

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gavinsimpson/ncse-seminar-2022

National Centre for Statistical Ecology seminar, Feb 9th, 2022

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SelfExplainML/GAMMLI

Explainable Recommendation Systems

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inesortega/neuralGAM

An R package which provides a a neural network framework based on Generalized Additive Models

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bma114/corroded-RC-beam-moment-capacity

Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.

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bma114/corroded-steel-machine-learning

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

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arturstat/smoothHR

Smooth Hazard Ratio Curves Taking a Reference Value

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TxWRI/lavaca-nutrients

Data and code repository for Lavaca Bay nutrient loading project.

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GreatArcStudios/Non-Linear-Election-Predictions

Predicting Elections Using GAMs and Post-Stratification

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ctesta01/covid.gradient.estimation

Using generalized additive models to analyze COVID-19 US county level mortality data

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reese3928/NBAMSeq

Negative Binomial Additive Model for RNASeq Data

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ztizzlegaming/framingham-glm

Analysis of data from the Framingham Heart Study using generalized linear models.

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inesortega/pyNeuralGAM

Generalized Additive Model with estimation of smooth functions using Neural Networks

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jlmassey1991/Diagnostic-Delays-Propensity-Cost

Assessing impact of delay days of diagnosis on costs

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jasb3110/COVIDPERU

To analyse COVID data-set in Peru which provides by government.

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egenn/gamsel2 Fork of cran/gamsel

Generalized Additive Model Selection by Chouldechova and Hastie 2015

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eloicampagne/load-forecasting

Repository for the Machine Learning for Time Series MVA course project.

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SonghuaHu-UMD/Mobility_RSIF

Language: Python - Size: 668 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

aprabaswara/Forecasting-UK-Electricity-Demand

Machine learning model for forecasting short-term electricity demand in the UK.

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MicheleDiSabato/statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

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boyiguo1/Manuscript-BHAM

Manuscript Repository of _Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data Analysis_

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Niccolo-Ajroldi/Nonparametric-Statistics-Project

Nonparametric analysis of 2020 US presidential elections.

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ColeConte/gam

Exploration of generalized additive models.

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matt-sd-watson/biostatistics_in_r

biostatistical workflows in R covering regression and classification models

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adibender/pammtutorial-smj

Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"

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m-clark/Workshops

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Jo-Werner/movielensML

R project with machine learning on the movielens dataset.

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Jamie-Behan/AM_Plaice_environmental_drivers

This repository houses the data used to build and run the exploratory GAM analyses that were used to identify potential ecosystem drivers on American plaice population dynamics.

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JoKra1/mssm_tutorials

Plotting code & tutorials for models estimated via the mssm toolbox!

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afrakilic/Bayesian-nonlinear-variable-selection

Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.

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brandipessman/Vibration_Transmission

Data analyses exhibiting that animals may adapt to environmental noise by modifying their sensory reception. The webs of funnel weaving spiders vary in vibration transmission properties based on previous noise history (rural/urban web) and current noise treatment (quiet/loud).

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noaa-afsc/sdmgamindex

R package for calculating survey indices by age from DATRAS exchange data. Adapted from Casper W. Berg @casperwberg.

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johannabosch/Paleolimnological_Analysis_in_R

This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.

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afrakilic/R-Packages-for-GP

Available R-Packages for Gaussian Process Regression

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williamagyapong/data-mining-projects

Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.

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bhanu006/Statistical-Analysis-of-the-Adult-Census-Income-Dataset

Comprehensive statistical analysis of the Adult Census Income Dataset, employing Z-tests, ANOVA, and Tukey's test for categorical data, alongside various modeling techniques such as logistic regression, stepwise selection, Lasso/Ridge Logistic Regression, and Generalized Additive Models (GAM).

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AdrianKriger/r-trend-surfaces

Trend Surface Analysis with R (Cape Flats Aquifer)

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OswaldoLeyva/modeling_atmospheric_data

A project for modeling atmospheric data to try to predict temperature values using a linear model and a generalized additive model

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Jamie-Behan/Atlantic_cod

To help identify ecosystem and climate influences on Atlantic cod, generalized additive models were used to examine associations between Atlantic cod population dynamics and environmental variables in the Northwest Atlantic region.

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AhmetZamanis/ConcreteStrengthGAM

Predicting concrete compressive strength using GAM regression.

Size: 16.9 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nbhushan/Generalised-Additive-Models

Generalised additive models (think deep learning, but interpretable)

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SonghuaHu-UMD/Transit_Bikeshare_COVID19

Language: Python - Size: 5.7 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

katjanestrickland/NonParametric-Statistics

Data and modeling notes for Nonparametric Statistics

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dteuscher1/Catcher-Framing

Project for generalized linear models class at BYU. Modeling the probability that a pitch is a strike using generalized additive models and determining catcher framing abilities and umpire influence on the strike zone using generalized linear mixed models.

Language: R - Size: 2.97 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

BrunaLab/HeliconiaDemography 📦

Effects of drought and habitat fragmentation on Heliconia acuminata.

Language: R - Size: 99.3 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

rhnfzl/data-aware-hypothesis-COVID19

Proposing data-aware alternate hypothesis on the COVID-19 dataset

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akleinhesselink/riparian-grazing-management

This repository contains code and data for recreating the analysis used in "Mitigating ecosystem service tradeoffs in rangelands by using grazing duration and timing to manage water quality" to be published in the Journal of Applied Ecology.

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dataandcrowd/SpInterpolation

Thesis Chatper 3: This repository compares Spatial Interpolation methods to predict Seoul's air pollution

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gautam-sabnis/IMSM2016

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Spandyie/Generalized_additive_model_bike_share

Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in http://capitalbikeshare.com/system-data. We aggregated the data on two hourly and daily basis and then extracted and added the corresponding weather and seasonal information. Weather information are extracted from http://www.freemeteo.com.

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MNoorFawi/nonlinear-regression

solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).

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