Code for Java Deep Learning Cookbook
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Updated
Oct 13, 2020 - Java
Code for Java Deep Learning Cookbook
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
A lightweight, extensible deep learning library for Java
I got bored in school, what can I say?
Code for "Detection of LLM-Generated Java Code Using Discretized Nested Bigrams" (arXiv:2502.15740). Achieves state-of-the-art performance in distinguishing human vs. LLM-written Java.
Java implementation of a simple neural network for binary classification. The neural network architecture consists of three layers: an input layer, a hidden layer, and an output layer.
Uma implementação simples do algorítimo de classificação K - Nearest Neighbor (K-NN).
Java client-server application for binary classification of points. Points are entered by the user using the mouse by click the left or right keys. The server stores user neural network information in an sql database. The neural network parameters are defined on the client side.
Binary classification library in Java with Perceptron, KNN, and Naive Bayes
real-time camera example for Tensorflow Lite on Android, can be executed on the ASUS Zenbo & Junior robot.
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