conclave-samples VS neural-network-number-guesser

Compare conclave-samples vs neural-network-number-guesser and see what are their differences.

neural-network-number-guesser

Java program that tries to guess a number you are drawing using a Neural Network. Uses the MNIST Dataset for training. Left click to draw, Right click to reset drawing (by d3nosaur)
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conclave-samples neural-network-number-guesser
1 1
11 1
- -
10.0 10.0
over 1 year ago over 2 years ago
Kotlin Java
Apache License 2.0 -
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conclave-samples

Posts with mentions or reviews of conclave-samples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-13.

neural-network-number-guesser

Posts with mentions or reviews of neural-network-number-guesser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-13.
  • Anybody here using Java for machine learning?
    11 projects | /r/java | 13 Sep 2022
    I made a shitty neural net for guessing hand drawn numbers. It only works about half the time and takes ages to train. In my experience the OOP-ness of Java really slows down the process and it'd probably just be faster by using more functional code. But I'm sure I could've done it better with more experience (am still in school). Here's the repo if you want to check it out: https://github.com/d3nosaur/neural-network-number-guesser

What are some alternatives?

When comparing conclave-samples and neural-network-number-guesser you can also consider the following projects:

deeplearning4j-examples - Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Smile - Statistical Machine Intelligence & Learning Engine

Tribuo - Tribuo - A Java machine learning library

neureka - A platform independent tensor library with autograd for the JVM

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.