arja
Easy-ML-For-Java
| arja | Easy-ML-For-Java | |
|---|---|---|
| 1 | 7 | |
| 42 | 35 | |
| - | - | |
| 0.0 | 10.0 | |
| almost 2 years ago | over 1 year ago | |
| Java | Java | |
| MIT License | MIT License |
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arja
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[D] Why do people thing AI can do stuff such as generate functioning code? In fact why do people think "AI", whatever that is, can do EVERYTHING? Isn't that what people believed in the 80s which led to it falling out of favor?
I'm not sure with that code base, but there are several others, e.g.: https://github.com/yyxhdy/arja
Easy-ML-For-Java
- Show HN: AI Library for Java Beginners
- AI Library for Java Beginners
- Show HN: Machine Learning Framework in Java
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Reinfocement learning in Java for Idiots
Please also look at the GitHub repository and leave some feedback about code and design. (Especially considering the ReadMe) https://github.com/tomLamprecht/Easy-ML-For-Java
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Framework for ML in Java
a colleague of mine and me created an Algorithm that can solve complex problems using Neural Networks which are being trained by and Genetic Algorithm. Or at least that's how it started, today it's an opensource easy to use framework for anyone who wants to start with Machine Learning in Java but doesn't have much prior knowledge. It's especially designed to be played around with, feel free to change any configurations of the algorithm and see how the outcome changes: Here is a full tutorial how to use this algorithm to predict diabetes: https://easy-ml.gitbook.io/easy-ml-for-java/fundamentals/implement-your-first-ai Here is the GitHub: https://github.com/tomLamprecht/Easy-ML-For-Java
What are some alternatives?
FEDOT - Automated modeling and machine learning framework FEDOT
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.
Uni-Work-2022-2024 - Master Inginerie Software FMI 2022-2024
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Smile - Statistical Machine Intelligence & Learning Engine
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Chips-n-Salsa - A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms