306 Open source projects that are alternatives of or similar to LIBSVM.jl

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

⚡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

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)

Predicting Google’s stock price using regression

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

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

Code for Tensorflow Machine Learning Cookbook

机器学习与深度学习算法示例

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.

A chess library for PHP.

R interface for Fixed Effect Models

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Simple Genetic Programming for Symbolic Regression in Python3

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Tidy, Type-Safe 'prediction()' Methods

A Jupyter notebook where I play with my Goodreads data

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Linear Regression for Julia

The R package for SVM with GPU architecture based on the GTSVM software

Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

A random forest

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Machine learning for beginner(Data Science enthusiast)

Multiple Regression Package for PHP

run a multitude of classifiers on you data and get an AUC report

Econometrics and data manipulation functions.

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

library of numerical methods using Armadillo

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Linear SVM with PyTorch

Ordered Weighted L1 regularization for classification and regression in Python

A Clojure machine learning library

Framework independent visual testing library

Microeconometric estimation in Julia

A practice project for machine learning and stop price prediction

All Machine Learning Algorithms

Machine Learning algorithms coded from scratch

Open Source Landmarking Library

Examples of Data Science projects and Artificial Intelligence use cases

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

A minimalistic educational hypervisor for Windows on AMD processors.

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Interactive SVM Explorer, using Dash and scikit-learn

Scene text detection and recognition based on Extremal Region(ER)

Stata-like Regression Functionality for R

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

A generalizable application framework for segmentation, regression, and classification using PyTorch

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Synthetic Minority Over-Sampling Technique for Regression

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

machine learning algorithm

Misc Statistics and Machine Learning codes in R

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.