356 Open source projects that are alternatives of or similar to Machine Learning

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

经典机器学习算法的极简实现

Boosted trees in Julia

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

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Predicting Google’s stock price using regression

An Interactive Approach to Understanding Supervised Learning Algorithms

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

机器学习与深度学习算法示例

Code for Tensorflow Machine Learning Cookbook

A document covering machine learning basics. 🤖📊

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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

Building Decision Trees From Scratch In Python

simple tutorial on Machine Learning with Scikitlearn

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

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

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

LIBSVM bindings for Julia

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

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

Regression, Scrapers, and Visualization

Transfer learning algorithm TrAdaboost,coded by python

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)

通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

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

Multivariable regression library in Go

Code for the blog post Nearest Neighbors with Keras and CoreML

A collection of awesome scripts from developers around the globe.

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).

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

Java version of LIBLINEAR

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

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

Implementation of a Partial Least Squares Regressor

Automatic Fruit Classifier Using Supervised AdaBoost Machine Learning Algorithm

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

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

A simple movie recommendation engine

practice on CIFAR10 with Keras

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

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

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

Python Machine Learning Algorithms

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

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

All Algorithms implemented in R

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

An implementation of multivariate projection pursuit regression and univariate classification

Basics of Musical Instruments Classification using Machine Learning

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

detect stages in video automatically

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.

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

MATLAB implementation of a basic HOG + SVM pedestrian detector.

本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现