conclave-samples
By R3Conclave
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)
conclave-samples | neural-network-number-guesser | |
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1 | 1 | |
11 | 1 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 2 years ago | |
Kotlin | Java | |
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
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Anybody here using Java for machine learning?
We actually have a sample with Tribuo working inside SGX: https://github.com/R3Conclave/conclave-samples/tree/master/tribuo-classification
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?
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.
conclave-samples vs deeplearning4j-examples
neural-network-number-guesser vs Deep Java Library (DJL)
conclave-samples vs Smile
neural-network-number-guesser vs deeplearning4j-examples
conclave-samples vs Deep Java Library (DJL)
neural-network-number-guesser vs Tribuo
conclave-samples vs Tribuo
neural-network-number-guesser vs neureka
conclave-samples vs Deeplearning4j
conclave-samples vs neureka