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The Top 72 Regression Open Source Projects

Categories > Software Quality > Regression
Ailearning 22,043
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Php Ml 7,566
PHP-ML - Machine Learning library for PHP
Tensorflow_cookbook 5,356
Code for Tensorflow Machine Learning Cookbook
Tensorflow Book 4,386
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Pytorch Tutorial 4,096
Build your neural network easy and fast
Tensorflow Tutorial 3,553
Tensorflow tutorial from basic to hard
Mlpack 3,031
mlpack: a scalable C++ machine learning library --
Simple Statistics 2,149
simple statistics for node & browser javascript
Orange3 2,069
🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si
Mathnet Numerics 2,005
Math.NET Numerics
Keras Yolo2 1,548
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).
Math Php 1,377
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
Mlr 1,364
Machine Learning in R
Dlcv_for_beginners 1,099
《深度学习与计算机视觉》配套代码
Thundersvm 1,089
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Machine Learning With Python 1,052
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mlbox 967
MLBox is a powerful Automated Machine Learning python library.
Owl 806
Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
Rubixml 727
A high-level machine learning and deep learning library for the PHP language.
Mlj.jl 538
A Julia machine learning framework
Machine Learning Octave 513
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Php Ml Examples 496
Examples use case of PHP-ML library.
Cranium 475
🤖 A portable, header-only, artificial neural network library written in C99
Alphapy 358
Automated Machine Learning [AutoML] with Python, scikit-learn, and Keras
Bayesian Neural Networks 349
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
Moderndive_book 327
Statistical Inference via Data Science: A ModernDive into R and the tidyverse
Tensorflow Resources 325
Curated Tensorflow code resources to help you get started with Deep Learning.
Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse 288
The bookdown version lives here: https://bookdown.org/connect/#/apps/1850/access
Glm.jl 284
Generalized linear models in Julia
Fuku Ml 268
Simple machine learning library / 簡單易用的機器學習套件
Regression 259
Multivariable regression library in Go
Fsa Net 255
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Go Deep 243
Artificial Neural Network
Srmd 243
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)
Linearmodels 224
Linear models including instrumental variable estimators and panel data models
Mlr3 218
mlr3: Machine Learning in R - next generation
Statistical Learning 196
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
Margins 193
An R Port of Stata's 'margins' Command
Deepfashion 179
Apparel detection using deep learning
Dynaml 175
Scala Library/REPL for Machine Learning Research
Morpheus Core 173
The foundational library of the Morpheus data science framework
Image To 3d Bbox 159
Build a CNN network to predict 3D bounding box of car from 2D image.
Uci Ml Api 158
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Recheck Web 156
recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.
Snape 149
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 144
🎓 Tidy tools for academics
Java Deep Learning Cookbook 136
Code for Java Deep Learning Cookbook
Mlkit 135
A simple machine learning framework written in Swift 🤖
Ayespy 135
A performant visual regression testing tool
Data Science Toolkit 134
Collection of stats, modeling, and data science tools in Python and R.
Machine_learning 128
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Interactive_machine_learning 127
IPython widgets, interactive plots, interactive machine learning
Ycml 118
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Data Science Portfolio 115
A Portfolio of my Data Science Projects
Benchmarks 108
Comparison tools
Neuroflow 107
Artificial Neural Networks for Scala
Reghdfe 90
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Fixedeffectmodels.jl 89
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Gpstuff 85
GPstuff - Gaussian process models for Bayesian analysis
Machinelearningalgorithm 82
一些常用的机器学习算法实现
Olsrr 80
Tools for developing linear regression models
Remixautoml 78
Learn how to use the library in general or across multiple case-study data science courses!
Openml R 76
R package to interface with OpenML
Lossfunctions.jl 76
Julia package of loss functions for machine learning.
Machine_learning_code 75
机器学习与深度学习算法示例
Neuralnetplayground 59
A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
Machine Learning In Action 53
⚡️《机器学习实战》代码(基于Python3)
Yannl 35
Yet another neural network library
Tidyreg 18
🎓 Tidy regression tools for academics
Anticipy 18
A Python library for time series forecasting
Breast Cancer Prediction 16
Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset
Rlur 8
Shiny dashboard for Land Use Regression modelling
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