237 Open source projects that are alternatives of or similar to Countries-GDP-prediction

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

R package for fast rolling and expanding linear regression models

Estimate cost of code review using Machine Learning

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

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

Online machine learning methods

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

ugtm: a Python package for Generative Topographic Mapping

GEstimator is a simple civil estimation software written in Python and GTK+. GEstimator can prepare estimates along with rate analysis and supports multiple databases.

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.

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

Stata and R functions for production function estimation

An intelligently dumb calculator that uses machine learning

A Julia package for estimating ARMA-GARCH models.

Model verification, validation, and error analysis

An implementation of multivariate projection pursuit regression and univariate classification

Predicting Google’s stock price using regression

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

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

The main integrator of MRS UAV packages in ROS, part of the "mrs_uav_system".

SVBRDF Estimation using a Physically-based Differentiable Renderer

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

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

Creating a model to analyze and predict the trend of the prices of gold.

No description or website provided.

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

An alternative to MCMC for rapid analysis of models

R Code Examples Multi-dimensional/Panel Data

Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival

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

Python Machine Learning Algorithms

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

Journal-style regression tables

Vectorized Machine Learning in Python 🐍 From Scratch

Deep Learning application to the partial differential equations

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

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

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

Fast & numerically stable statistical analysis

A Python package for fitting Quinlan's Cubist regression model

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

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

Agile Regression Analyzer

💪 🤔 Modern Super Learning with Machine Learning Pipelines

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

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

Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)

R package for online training of regression models using FTRL Proximal

Beta Machine Learning Toolkit

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

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

Solve many kinds of least-squares and matrix-recovery problems

Boosted trees in Julia

Select, weight and analyze complex sample data

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

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

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

A PureScript, browser-based implementation of simple linear regression.

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.