Java Statistical Analysis Tool, a Java library for Machine Learning
-
Updated
Dec 16, 2022 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Java Statistical Analysis Tool, a Java library for Machine Learning
Android TensorFlow Lite Machine Learning Example
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
商品类目预测,使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架,通过 TF-IDF 和 Bayes 算法,训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
基于机器学习和OCR的车牌识别系统 @fujunhao
Static Analyzer for Java Code with Machine Learning in Mind
EDUX is a developer friendly Java library for machine learning educational tasks
K-Means algorithm implementation with Hadoop and Spark for the course of Cloud Computing of the MSc AIDE at the University of Pisa.
ReCiter: an enterprise open source author disambiguation system for academic institutions
Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
Java Convolutional Neural Network example for Hand Writing Digit Recognition
Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA
VoiceStressAnalysis - Detects stress in your voice
Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.
Machine learning Fraud Detection with SPARK and OCTAVE
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.
企业信用分析平台(EEAP)
Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum