AI on Hadoop
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Updated
Jul 1, 2025 - 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
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
A Natural Language Date Time Parser that Extract date and time from text with context and parse to the required format
VideoView that plays video only when 👀 are open and 👦 is detected with various other features
Code for Java Deep Learning Cookbook
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.
EDUX is a developer friendly Java library for machine learning educational tasks
Java Deep Learning Cookbook, published by Packt
A Fashion AI app that styles and suggest outfits to wear with clothes in your actual wardrobe
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.
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
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Very basic neural network implementation.
Used Car selling price prediction based on Machine Learning
MACHINE LEARNING | Android Camera application to classify images
Java Deep Learning Library
基于 OpenCV 和 Tesseract 的中国居民身份证光学字符识别(OCR)系统。本系统采用先进的计算机视觉技术和深度学习算法, 能够快速准确地识别身份证上的文字信息。通过多级图像预处理和优化的 OCR 引擎,即使在复杂光照条件下也能保持较高的识别 准确率。系统采用 MVC 设计模式,具有良好的可扩展性和维护性,可轻松集成到各类应用场景中。🚀💥