222 Open source projects that are alternatives of or similar to Metida.jl

A Julia package for estimating ARMA-GARCH models.

Econometrics and data manipulation functions.

A random forest

Machine learning for beginner(Data Science enthusiast)

Ordered Weighted L1 regularization for classification and regression in Python

LIBSVM bindings for Julia

Synthetic Minority Over-Sampling Technique for Regression

An Interactive Approach to Understanding Supervised Learning Algorithms

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

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

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

Tidy, Type-Safe 'prediction()' Methods

Multi-sample somatic variant caller

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Machine Learning algorithms coded from scratch

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Agile Regression Analyzer

run a multitude of classifiers on you data and get an AUC report

Framework independent visual testing library

library of numerical methods using Armadillo

Tools for developing binary logistic regression models

A meta-analysis package for R

A Clojure machine learning library

Microeconometric estimation in Julia

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

Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.

Massively Parallel and Asynchronous Architecture for Logic-based AI

Short introduction to Bayesian statistical modelling with PyMC3

Python package for interactive data visualization

Examples of Data Science projects and Artificial Intelligence use cases

Boosted trees in Julia

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

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

A generalizable application framework for segmentation, regression, and classification using PyTorch

Notebooks for SMLP2021

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

Stata-like Regression Functionality for R

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

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

R interface for Fixed Effect Models

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

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

Basis expansion transformers in sklearn style.

Simple Genetic Programming for Symbolic Regression in Python3

Linear Regression for Julia

A chess library for PHP.

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

Statistical Models with Regularization in Pure Julia

Formulas for mixed-effects models in Python

A Jupyter notebook where I play with my Goodreads data

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

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Misc Statistics and Machine Learning codes in R

Combining tree-boosting with Gaussian process and mixed effects models

A Python package for fitting Quinlan's Cubist regression model

A command line regression testing framework for testing HTTP services

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