186 Open source projects that are alternatives of or similar to Liblinear Java

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

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

Interactive Visual Machine Learning Demos.

文本分类基准测试

经典机器学习算法的极简实现

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

machine learning algorithm

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

100 Days of ML Coding

simple tutorial on Machine Learning with Scikitlearn

Information Retrieval in High Dimensional Data (class deliverables)

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

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

🏭 JavaScript Machine Learning Toolkit

Matlab library for gradient descent algorithms: Version 1.0.1

Python code for common Machine Learning Algorithms

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。

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

Machine Learning models from scratch with a better visualisation

Padestrian Detection in images using HOG Vector

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.

Basics of Musical Instruments Classification using Machine Learning

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Is This a Joke? Humor Detection in Spanish Tweets

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

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

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

practice on CIFAR10 with Keras

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Ruby language bindings for LIBSVM

(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

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

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

The Operator Splitting QP Solver

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

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

Support Vector Machine in Javascript

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

Generalized Analog Regression Downscaling (GARD) code

MATLAB implementation of a basic HOG + SVM pedestrian detector.

Heart Disease Analysis repository

Loan Application Data Analysis

Predicting the winner of 2019 cricket world cup using random forest algorithm

Field-aware factorization machine (FFM) with FTRL

Machine Learning Course @ Santa Clara University

Predicting Google’s stock price using regression

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Variational Bayes linear and logistic regression

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Sentiment Analysis & Topic Modeling with Amazon Reviews

Regression, Scrapers, and Visualization

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)

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

基于新浪微博数据的情感极性分析

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

a frame of amd-v svm nest