The Top 83 Regression Open Source Projects

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The Top 83 Regression Open Source Projects

Categories > Software Quality > Regression

Ailearning ⭐25,924

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Php Ml ⭐7,900

PHP-ML - Machine Learning library for PHP

Tensorflow_cookbook ⭐5,610

Code for Tensorflow Machine Learning Cookbook

Pytorch Tutorial ⭐4,956

Build your neural network easy and fast

Statistical Machine Intelligence & Learning Engine

Tensorflow Book ⭐4,404

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tensorflow Tutorial ⭐3,780

Tensorflow tutorial from basic to hard

Mlpack ⭐3,294

mlpack: a scalable C++ machine learning library --

Simple Statistics ⭐2,356

simple statistics for node & browser javascript

Orange3 ⭐2,318

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

Mathnet Numerics ⭐2,202

Math.NET Numerics

Math Php ⭐1,630

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

Keras Yolo2 ⭐1,624

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Machine Learning in R

Machine Learning With Python ⭐1,347

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Thundersvm ⭐1,188

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Dlcv_for_beginners ⭐1,178

《深度学习与计算机视觉》配套代码

MLBox is a powerful Automated Machine Learning python library.

A high-level machine learning and deep learning library for the PHP language.

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

A Julia machine learning framework

Bayesian Neural Networks ⭐620

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Machine Learning Octave ⭐584

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Php Ml Examples ⭐526

Examples use case of PHP-ML library.

🤖 A portable, header-only, artificial neural network library written in C99

Moderndive_book ⭐426

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Automated Machine Learning [AutoML] with Python, scikit-learn, and Keras

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse ⭐335

The bookdown version lives here: https://bookdown.org/content/3890

Tensorflow Resources ⭐328

Curated Tensorflow code resources to help you get started with Deep Learning.

Generalized linear models in Julia

mlr3: Machine Learning in R - next generation

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

Linearmodels ⭐296

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

Regression ⭐280

Multivariable regression library in Go

Simple machine learning library / 簡單易用的機器學習套件

Artificial Neural Network

An R Port of Stata's 'margins' Command

Deepfashion ⭐208

Apparel detection using deep learning

Statistical Learning ⭐208

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Recheck Web ⭐204

recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.

Machine Learning In Action ⭐194

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Scala Library/REPL for Machine Learning Research

Morpheus Core ⭐190

The foundational library of the Morpheus data science framework

Image To 3d Bbox ⭐182

Build a CNN network to predict 3D bounding box of car from 2D image.

Uci Ml Api ⭐173

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Data Science Toolkit ⭐154

Collection of stats, modeling, and data science tools in Python and R.

Machine_learning ⭐153

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Tidyversity ⭐151

🎓 Tidy tools for academics

Java Deep Learning Cookbook ⭐150

Code for Java Deep Learning Cookbook

Applied Ml ⭐144

Code and Resources for "Applied Machine Learning"

A simple machine learning framework written in Swift 🤖

A performant visual regression testing tool

Interactive_machine_learning ⭐132

IPython widgets, interactive plots, interactive machine learning

Benchmarks ⭐131

Comparison tools

Applied Econometrics Library for Python

Data Science Portfolio ⭐128

A Portfolio of my Data Science Projects

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

Mozregression ⭐115

Regression range finder for Mozilla nightly builds

Linear, IV and GMM Regressions With Any Number of Fixed Effects

Diagnostics for HierArchical Regession Models

Neuroflow ⭐105

Artificial Neural Networks for Scala

Remixautoml ⭐105

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Fixedeffectmodels.jl ⭐99

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

GPstuff - Gaussian process models for Bayesian analysis

Lossfunctions.jl ⭐87

Julia package of loss functions for machine learning.

Tools for developing linear regression models

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Machinelearningalgorithm ⭐83

一些常用的机器学习算法实现

The Data Science Workshop ⭐81

A New, Interactive Approach to Learning Data Science

Machine_learning_code ⭐80

机器学习与深度学习算法示例

R package to interface with OpenML

Conversion of R Regression Output to LaTeX or HTML Tables

A Python library for time series forecasting

Neuralnetplayground ⭐59

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Test/benchmark regression and comparison system with dashboard

Tensorflow Implementation of MAML

Yet another neural network library

Deep_learning_projects ⭐23

🎓 Tidy regression tools for academics

Breast Cancer Prediction ⭐18

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Shiny dashboard for Land Use Regression modelling

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