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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
Become A Software Engineer At Top Companies
⭐
Sponsored
Identify your strengths with a free online coding quiz, and skip resume and recruiter screens at multiple companies at once. It's free, confidential, includes a free flight and hotel, along with help to study to pass interviews and negotiate a high salary!
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
Smile
⭐
4,815
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).
Mlr
⭐
1,414
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
⭐
1,102
MLBox is a powerful Automated Machine Learning python library.
Rubixml
⭐
898
A high-level machine learning and deep learning library for the PHP language.
Owl
⭐
851
Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
Mlj.jl
⭐
711
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.
Cranium
⭐
484
🤖 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
Alphapy
⭐
412
Automated Machine Learning [AutoML] with Python, scikit-learn, and Keras
Fsa Net
⭐
375
[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.
Glm.jl
⭐
307
Generalized linear models in Julia
Mlr3
⭐
306
mlr3: Machine Learning in R - next generation
Srmd
⭐
298
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
Fuku Ml
⭐
278
Simple machine learning library / 簡單易用的機器學習套件
Go Deep
⭐
275
Artificial Neural Network
Margins
⭐
211
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）🚀
Dynaml
⭐
191
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
⭐
152
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"
Mlkit
⭐
143
A simple machine learning framework written in Swift 🤖
Ayespy
⭐
137
A performant visual regression testing tool
Interactive_machine_learning
⭐
132
IPython widgets, interactive plots, interactive machine learning
Benchmarks
⭐
131
Comparison tools
Appelpy
⭐
130
Applied Econometrics Library for Python
Data Science Portfolio
⭐
128
A Portfolio of my Data Science Projects
Ycml
⭐
119
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Mozregression
⭐
115
Regression range finder for Mozilla nightly builds
Reghdfe
⭐
111
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Dharma
⭐
111
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
⭐
95
GPstuff - Gaussian process models for Bayesian analysis
Lossfunctions.jl
⭐
87
Julia package of loss functions for machine learning.
Olsrr
⭐
85
Tools for developing linear regression models
Rul Net
⭐
85
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
Openml R
⭐
78
R package to interface with OpenML
Texreg
⭐
78
Conversion of R Regression Output to LaTeX or HTML Tables
Anticipy
⭐
66
A Python library for time series forecasting
Neuralnetplayground
⭐
59
A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
Dana
⭐
45
Test/benchmark regression and comparison system with dashboard
Maml Tf
⭐
44
Tensorflow Implementation of MAML
Yannl
⭐
36
Yet another neural network library
Deep_learning_projects
⭐
23
Tidyreg
⭐
19
🎓 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
Rlur
⭐
8
Shiny dashboard for Land Use Regression modelling
1-83 of 83 projects