301 Open source projects that are alternatives of or similar to Machine Learning In Action

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

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

Predicting Google’s stock price using regression

机器学习与深度学习算法示例

Code for Tensorflow Machine Learning Cookbook

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

LIBSVM bindings for Julia

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

A simple movie recommendation engine

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

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

This is the page for the book Digital Signal Processing with Kernel Methods.

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

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

mlr3: Machine Learning in R - next generation

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

The Operator Splitting QP Solver

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Machine Learning library for the web and Node.

Curso de Introducción a Machine Learning con Python

Multivariable regression library in Go

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

simple tutorial on Machine Learning with Scikitlearn

An open-source, low-code machine learning library in Python

practice on CIFAR10 with Keras

Regression, Scrapers, and Visualization

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Implementation of a Partial Least Squares Regressor

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

📦📊 GitHub Action to reports on the size of your npm package

Generalized linear models in Julia

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

Various methods for generating synthetic data for data science and ML

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

Generalized Analog Regression Downscaling (GARD) code

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

Artificial Neural Network

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Examples use case of PHP-ML library.

A PureScript, browser-based implementation of simple linear regression.

Java version of LIBLINEAR

The missing SVM-based text classification module implementing HanLP's interface

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

All Algorithms implemented in R

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Python Machine Learning Algorithms

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

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

detect stages in video automatically

An implementation of multivariate projection pursuit regression and univariate classification

Basics of Musical Instruments Classification using Machine Learning

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

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

Python code for common Machine Learning Algorithms

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)