AI on Hadoop
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Updated
Jul 1, 2024 - 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.
AI on Hadoop
as机器学习库支持各种度量系数的计算,同时具有knn,决策树,线性回归等机器学习基础算法计算组件的实现,其还具有SQL式编程的数据计算库,与强大的机器视觉库,能够轻松实现各种人工智能处理需求。| The AS machine learning library supports various machine learning algorithms, as well as SQL programming for data calculation and a powerful machine vision library, which can easily meet various data processing requirements.
The Machine Learning Weights Mod
EDUX is a developer friendly Java library for machine learning educational tasks
Built an image recognition pipeline using AWS JAVA SDK. AWS services used were AWS S3, AWS EC2, AWS SQS, AWS Object detection and AWS Object Rekognition.
A Natural Language Date Time Parser that Extract date and time from text with context and parse to the required format
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
ApacheBugLearning is a Java project capable of retrieving all commits of any Java project from the Apache Software Foundation, linked with related Jira tickets, and through machine learning predicting classes affected by BUGs.
machine learning determines best possible tictactoe moves
Caledonia is a Java-based open-source tool designed to allow end users to aggregate notes and then interrogate them for insights using the power of OpenAI’s GPT model.
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
Java Deep Learning Cookbook, published by Packt
An interpretable search engine for 19th century fiction
Java-implementation of a decision tree classifier based on "Titanic - Machine Learning from Disaster" dataset.
基于机器学习的分布式网络鲁棒性量测软件Testing-robustness-software-basing-on-machine-learning
VideoView that plays video only when 👀 are open and 👦 is detected with various other features
This Maven Java project implements three common measures for link prediction in graphs: Common Neighbors, Jaccard Coefficient, and Adamic-Adar. The project leverages the power of Apache Spark to efficiently process large graphs in a distributed environment.
Text-Recognition-App helps to detect text from an image using ML module. It captures a real time image and uses firebase's text recognition Module to detect the Text.
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
This is a simple sentiment analysis project using Java. With explanation of methods and objects.