KonaBess
Deeplearning4j
KonaBess | Deeplearning4j | |
---|---|---|
16 | 13 | |
814 | 13,427 | |
- | 0.3% | |
6.5 | 5.8 | |
11 days ago | 7 days ago | |
Java | Java | |
GNU General Public License v3.0 only | 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.
KonaBess
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Overclocking?
Try KonaBess for GPU overclocking/undervolting https://github.com/libxzr/KonaBess
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Overclocking/Undervolting my V50 GPU
So I decided to have a bit of fun and see how far I can overclock my V50's GPU (Using KonaBess)
- (Root) Successfully minor GPU Overclock + Undervolt! Heat issues begone!
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NBA 2k20
Use konabess app: https://github.com/libxzr/KonaBess/releases
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Top 1% on 3DMark with KonaBess GPU OC
Since GPU OC / UV tests on the SD 855 are kinda hard to find i decided to trial and error how much could i get out of this chip with as (that i felt) safest voltages possible. Kona does not directly change the voltage input to the GPU, instead changes the state of the voltage regulator which affects how much or little voltage is delivered to the GPU wich makes the process a little annoying, but not too bad when you understand how it works. you should be able to find more info on KonaBess Github page.
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Konabess app with that you can Overclock or Undervolt any Snapdragon GPU
Hi I share info about this great app call Konabess which is on GitHub. https://github.com/libxzr/KonaBess
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With aethersx2 making it clear that we could've had ps2 emulation going all the way back to snapdragon 845(even though so many people were calling it impossible all the way up to aethers release) how far do you think we are to ps3 emulation? Is rpcs3 open-source?
You can do that with konabess app and overclock as we as undervolt. https://github.com/libxzr/KonaBess
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Need for speed underground with new skip duplicate at 2x. Mostly full speed. Sd865
https://github.com/libxzr/KonaBess/releases Install app get root and add freq and flash reboot. Here tutorial for 865 https://youtu.be/wFRYvlEK3x8
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I get my Poco X3 Pro performance boost in GPU to F3 territory
Second undervolt by Konabess https://github.com/libxzr/KonaBess in this video you have clocks and voltage table how to undervolt With this you can increase SOT by 3hours
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I increase performance of Poco X3 Pro to F3 territory
Custom Kernel NGK or Konabess app https://github.com/libxzr/KonaBess
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?
throttled - Workaround for Intel throttling issues in Linux.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Weka
intel-undervolt - Intel CPU undervolting and throttling configuration tool
tensorflow - An Open Source Machine Learning Framework for Everyone
GPUVideo-android - This library apply video filter on generate an Mp4 and on ExoPlayer video and Video Recording with Camera2.
Smile - Statistical Machine Intelligence & Learning Engine
nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Thunderbolt-Switch - Thunderbolt Switch, a software that switches your game settings and device power profiles (TDP, Power Balance, Voltage) for all your games based on device current status (AC, DC, EGPU, External Screen). Now compatible with both Intel and AMD processors.
Apache Mahout - Mirror of Apache Mahout