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

PHP-ML - Machine Learning library for PHP

Code for Tensorflow Machine Learning Cookbook

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

Build your neural network easy and fast

Tensorflow tutorial from basic to hard

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

simple statistics for node & browser javascript

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

Math.NET Numerics

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).

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

Machine Learning in R

《深度学习与计算机视觉》配套代码

ThunderSVM: A Fast SVM Library on GPUs and CPUs

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

MLBox is a powerful Automated Machine Learning python library.

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

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

A Julia machine learning framework

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

Examples use case of PHP-ML library.

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

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

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

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

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

The bookdown version lives here: https://bookdown.org/connect/#/apps/1850/access

Generalized linear models in Julia

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

Multivariable regression library in Go

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

Artificial Neural Network

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

Linear models including instrumental variable estimators and panel data models

mlr3: Machine Learning in R - next generation

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

An R Port of Stata's 'margins' Command

Apparel detection using deep learning

Scala Library/REPL for Machine Learning Research

The foundational library of the Morpheus data science framework

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

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

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

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.

🎓 Tidy tools for academics

Code for Java Deep Learning Cookbook

A simple machine learning framework written in Swift 🤖

A performant visual regression testing tool

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

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

IPython widgets, interactive plots, interactive machine learning

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

A Portfolio of my Data Science Projects

Comparison tools

Artificial Neural Networks for Scala

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

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

GPstuff - Gaussian process models for Bayesian analysis

一些常用的机器学习算法实现

Tools for developing linear regression models

Learn how to use the library in general or across multiple case-study data science courses!

R package to interface with OpenML

Julia package of loss functions for machine learning.

机器学习与深度学习算法示例

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

⚡️《机器学习实战》代码（基于Python3）

Yet another neural network library

🎓 Tidy regression tools for academics

A Python library for time series forecasting

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

Shiny dashboard for Land Use Regression modelling