Showing 9 open source projects for "java project with source code"

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  • 1
    Neural Network Visualization

    Neural Network Visualization

    Project for processing neural networks and rendering to gain insights

    nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is...
    Downloads: 0 This Week
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  • 2
    Lucid

    Lucid

    A collection of infrastructure and tools for research

    Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs...
    Downloads: 1 This Week
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  • 3
    I3D models trained on Kinetics

    I3D models trained on Kinetics

    Convolutional neural network model for video classification

    Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both...
    Downloads: 1 This Week
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  • 4

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
    Downloads: 0 This Week
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  • 5
    jFAN2 project develops a Java API to use a neural network (neuro-fuzzy) called FAN (Free Associative Neurons). Its an reprogramed version of jFAN "https://sourceforge.net/projects/jfan/".
    Downloads: 0 This Week
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  • 6
    Neuroph OCR - Handwriting Recognition
    Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
    Downloads: 0 This Week
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  • 7
    This project is aimed at making a complete flexible Neural network library in Java. The library works fine with most complex problems.Future targets: Configurable Learning rate and momentum. More details at http://www.w3avatar.com
    Downloads: 0 This Week
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  • 8

    Speedy Composer

    Speedy Composer – Artificial Neural Network Melody Composer.

    Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...
    Downloads: 0 This Week
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  • 9
    NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
    Downloads: 0 This Week
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    Build Securely on AWS with Proven Frameworks

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