Native System Automation
Deeplearning4j
Native System Automation | Deeplearning4j | |
---|---|---|
1 | 13 | |
208 | 13,427 | |
0.0% | 0.3% | |
0.0 | 5.8 | |
over 1 year ago | 5 days ago | |
C++ | Java | |
zlib License | Apache License 2.0 |
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.
Native System Automation
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PyAutoGui library for c++
While you can do that (quick internet search resulted in https://github.com/Robot/robot , not sure if it does everything you want), C++ is not exactly the right tool for that job. Use Autohotkey or keep using Python.
Deeplearning4j
- Deeplearning4j Suite Overview
- Java for ML?
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Best way to combine Python and Java?
Have you considered migrating off of Python to just using JVM ML libraries then? I hear good things about Deeplearning4j, but there's quite a few.
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Anybody here using Java for machine learning?
I've gone to the linux workflow as directed in the docs and reconstructed the maven command line:
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Data Science Competition
DL4J
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Java Matrix Benchmark is Updated! See how linear algebra libraries compare for speed
Hey folks, just letting you know we see this thread and I appreciate you guys running these benchmarks. I'm not seeing any of your posts on our forums. I think I saw a notification from our examples but we do not actually monitor that. Please use: https://community.konduit.ai/ or at least the main repo dl4j issues: https://github.com/eclipse/deeplearning4j/issues and you'll get a lot more visibility. Thanks!
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Does Java has similar project like this one in C#? (ml, data)
Also, the website is now redirected to: https://deeplearning4j.konduit.ai/
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If it gets better w age, will java become compatible for machine learning and data science?
On top of this several popular projects have been built. This includes tensorflow-java and our project eclipse deeplearning4j: https://github.com/eclipse/deeplearning4j
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Nd4j is actively developed. The latest commit was 6 hours ago. Nd4j is part of deeplearning4j which is now owned by eclipse (but the main contributors are from a company) https://github.com/eclipse/deeplearning4j/tree/master/nd4j
What are some alternatives?
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Weka
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
tensorflow - An Open Source Machine Learning Framework for Everyone
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
Smile - Statistical Machine Intelligence & Learning Engine
nano
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Apache Mahout - Mirror of Apache Mahout