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Top 205 regression open source projects

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

✭ 46

Jupyter Notebook machine-learning clustering scikit-learn regression classification tpot auto-ml

Predictive-Maintenance-of-Aircraft-Engine

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

✭ 48

Jupyter Notebook regression classification cnn-keras lstm-neural-networks feature-importance predictive-maintenance rul-prediction exponential-degradation similarity-based-model

hdfe

No description or website provided.

✭ 22

python Dockerfile statistics regression pandas econometrics

AI-cheat-sheet

cheat sheet for Artificial Intelligence

✭ 20

TeX HTML PostScript formula data-science machine-learning neural-network regression artificial-intelligence bayesian

ARCHModels.jl

A Julia package for estimating ARMA-GARCH models.

✭ 63

julia finance statistics timeseries arch julia-language regression econometrics volatility garch statistical-models

RegressionTables.jl

Journal-style regression tables

✭ 82

julia HTML TeX regression economics regression-tables

ridge

CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

✭ 17

r M4 shell cran regression ridge-regression

HurdleDMR.jl

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

✭ 19

julia r count machine-learning regression text-analysis distributed multinomial hurdle text-selection

wink-statistics

Fast & numerically stable statistical analysis

✭ 36

javascript streaming real-time statistics probability regression statistical-analysis stats covariance hactoberfest

InstantDL

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

✭ 33

python docker deep-learning gpu regression classification image-segmentation semantic-segmentation instance-segmentation pixel-wise-regression

sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

✭ 93

javascript r HTML CSS data-science machine-learning statistics regression model-selection ensemble-learning r-package ensemble-model stacking

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

✭ 425

python Jupyter Notebook natural-language-processing computer-vision regression healthcare imbalanced-data icml imbalanced-learning long-tail imbalance imbalanced-classification imbalanced-regression icml-2021

ImVisible

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

✭ 32

python swift deep-learning neural-network regression image-classification image-dataset traffic-light zebra-crossings

LinearityIQA

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

✭ 73

python regression loss-functions image-quality-assessment in-the-wild

Universal Head 3DMM

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

✭ 138

universal regression registration face pca head gaussian-processes uhm eye 3dmm morphable universal-head-model complete-head-model head-shapes eye-model ear-model ear-shape

R4Econ

R Code Examples Multi-dimensional/Panel Data

✭ 16

r TeX data-science ggplot2 statistics tidyverse regression bookdown economics data-analytics statistics-library

piven

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

✭ 26

Jupyter Notebook python shell deep-learning tensorflow regression uncertainty-estimation prediction-intervals

onelearn

Online machine learning methods

✭ 14

python machine-learning random-forest regression classification online-learning-algorithms

BAS

BAS R package https://merliseclyde.github.io/BAS/

✭ 36

c r cran regression variable-selection model-selection bayesian r-package predictive-modeling mcmc

machine learning from scratch matlab python

Vectorized Machine Learning in Python 🐍 From Scratch

✭ 28

Jupyter Notebook matlab python machine-learning regression coursera datascience supervised-learning classification unsupervised-learning

ugtm

ugtm: a Python package for Generative Topographic Mapping

✭ 34

HTML python machine-learning algorithm machine-learning-algorithms regression gtm classification

Machine-Learning-Specialization

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

✭ 27

Jupyter Notebook machine-learning clustering regression classification predicting-housing-prices

regression-stock-prediction

Predicting Google’s stock price using regression

✭ 54

python svm scikit-learn regression stock-prices

brglm2

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

✭ 18

r c statistics algorithms regression estimation rstats logistic-regression glm regression-algorithms bias-reduction nominal-responses ordinal-responses adjusted-score-equations bias-reducing-adjustments

R-Machine-Learning

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

✭ 27

r data-science machine-learning regression classification tidymodels rsample

3D-face-reconstruction

3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.

✭ 28

python matlab shell regression cnn 3d-face-reconstruction

code-review-estimator

Estimate cost of code review using Machine Learning

✭ 49

PHP machine-learning regression estimation code-review

rollRegres

R package for fast rolling and expanding linear regression models

✭ 20

r C++fortran c regression regression-models rolling

prediction-builder

A library for machine learning that builds predictions using a linear regression.

✭ 107

PHP machine-learning composer regression prediction

BetaML.jl

Beta Machine Learning Toolkit

✭ 64

julia data-science machine-learning deep-learning clustering regression neural-networks imputation

PRISM

An alternative to MCMC for rapid analysis of models

✭ 40

python Jupyter Notebook TeX emulator model regression model-analysis analysis-pipeline

Metida.jl

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

✭ 19

julia statistics regression mixed-effects statistical-models mixed-models variance-component mixed-effects-models

Cubist

A Python package for fitting Quinlan's Cubist regression model

✭ 22

c python data-science machine-learning scikit-learn regression

EvoTrees.jl

Boosted trees in Julia

✭ 108

julia machine-learning regression logistic quantile gbrt poisson decision-tree boosted-trees gradientboosting gradient-boosting

ara

Agile Regression Analyzer

✭ 74

java Vue javascript HTML Gherkin PLpgSQL test regression cucumber hacktoberfest

smooth

The set of smoothing functions used for time series analysis and in forecasting.

✭ 78

r C++regression forecast state-space exponential smoothing ces

regressr

A command line regression testing framework for testing HTTP services

✭ 35

api http regression command-line-tool testing-framework

PyTsetlinMachineCUDA

Massively Parallel and Asynchronous Architecture for Logic-based AI

✭ 37

python gpu cuda regression classification convolution logic-based-artificial-intelligence learning-automata tsetlin-machine

needlestack

Multi-sample somatic variant caller

✭ 45

r Nextflow shell Dockerfile TeX docker bam-files pipeline ngs regression variants somatic-mutations samtools negative-binomial-regression

The-Supervised-Learning-Workshop

An Interactive Approach to Understanding Supervised Learning Algorithms

✭ 24

Jupyter Notebook python plots regression pandas supervised-learning classification matplotlib decision-trees knn

basis-expansions

Basis expansion transformers in sklearn style.

✭ 74

python machine-learning sklearn regression transformer derived-features

blorr

Tools for developing binary logistic regression models

✭ 16

r regression rstats logistic-regression-models

SGpp

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

✭ 59

C++python SWIG c shell PostScript machine-learning optimization interpolation regression quadrature pde numerics sparse-grids b-splines adaptive-sparse-grids

polatory

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

✭ 82

C++CMake shell interpolation regression approximation surface-reconstruction smoothing splines spline geostatistics kriging function-approximation radial-basis-function rbf

Cuff less BP Prediction

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

✭ 101

python matlab deep-learning regression ecg-signal blood-pressure ppg-features cuff ppg-signal

jGeneticNeuralNet

A Java library that trains neural networks with a genetic algorithm.

✭ 16

java TeX machine-learning neural-network genetic-algorithm regression artificial-intelligence classification

psyplot

Python package for interactive data visualization

✭ 64

python visualization data-science interactive climate models regression netcdf earth-science matplotlib cartopy earth-system-model

LIBSVM.jl

LIBSVM bindings for Julia

✭ 74

julia svm regression classification libsvm

ML-Track

This repository is a recommended track, designed to get started with Machine Learning.

✭ 19

Jupyter Notebook visualization machine-learning clustering numpy scikit-learn regression pandas classification bias-variance dimesion-reduction

cheapml

Machine Learning algorithms coded from scratch

✭ 17

r data-science machine-learning random-forest machine-learning-algorithms regression from-scratch gradient-boosting regression-trees demystify

reggie

Stata-like Regression Functionality for R

✭ 24

r Makefile regression work-in-progress

econtools

Econometrics and data manipulation functions.

✭ 96

python Stata statistics regression econometrics scipy

pycobra

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

✭ 111

python TeX visualization scikit-learn machine-learning-algorithms visualisation regression classification ensemble-learning machine-learning-library voronoi-diagram aggregation predictor

mugshot

Framework independent visual testing library

✭ 126

typescript javascript HTML CSS testing screenshot webdriver tdd regression webdriverio puppeteer playwright

LinearRegression.jl

Linear Regression for Julia

✭ 12

julia statistics regression

MLweb

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

✭ 85

javascript HTML machine-learning statistics linear-algebra regression javascript-library support-vector-machine

R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

✭ 33

r machine-learning statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

broomExtra

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

✭ 45

r regression broom tidy regression-models easystats performance-measures regression-analyses tidy-tibbles

Regression

Multiple Regression Package for PHP

✭ 88

PHP regression logistic-regression gradient-descent multiple

ml course

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

✭ 22

Jupyter Notebook python machine-learning deep-learning tensorflow sklearn machine-learning-algorithms keras deep-reinforcement-learning regression classification gaussian-processes

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