Easy-ML-For-Java
CNTK
| Easy-ML-For-Java | CNTK | |
|---|---|---|
| 7 | 1 | |
| 35 | 17,435 | |
| - | 0.0% | |
| 10.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Java | C++ | |
| MIT License | GNU General Public License v3.0 or later |
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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.
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
CNTK
What are some alternatives?
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Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
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xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow