Smile VS Tribuo

Compare Smile vs Tribuo and see what are their differences.

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Smile Tribuo
8 15
5,904 1,220
- 1.0%
9.0 5.3
6 days ago 9 days ago
Java Java
GNU General Public License v3.0 or later Apache 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.

Smile

Posts with mentions or reviews of Smile. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-03.
  • Just want to vent a bit
    3 projects | /r/ProgrammingLanguages | 3 Dec 2022
    Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
  • Anybody here using Java for machine learning?
    11 projects | /r/java | 13 Sep 2022
    For deploying a trained model there are a bunch of options that use Java on top of some native runtime like TF-Java (which I co-lead), ONNX Runtime, pytorch has inference for TorchScript models. Training deep learning models is harder, though you can do it for some of them in DJL. Training more standard ML models is much simpler, either via Tribuo, or using things like LibSVM & XGBoost directly, or other libraries like SMILE or WEKA.
  • What libraries do you use for machine learning and data visualizing in scala?
    5 projects | /r/scala | 27 Nov 2021
    I use smile https://github.com/haifengl/smile with ammonite and it feels pretty easy/good to work with. Of course for pure looking at data, and exploration, you're not going to beat python.
  • Python VS Scala
    2 projects | /r/scala | 2 Jul 2021
    Actually, it does. Scala has Spark for data science and some ML libs like Smile.
  • Machine learning on JVM
    6 projects | /r/scala | 5 Apr 2021
    I was using Smile for some period - https://haifengl.github.io/ - it's quite small and lightweight Java lib with some very basic algorithms - I was using in particularly cauterization. Along with this it provides Scala API.

Tribuo

Posts with mentions or reviews of Tribuo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-08.
  • FLaNK Weekly 08 Jan 2024
    41 projects | dev.to | 8 Jan 2024
  • Is deeplearning4j a good choice?
    2 projects | /r/java | 11 Mar 2023
    It seems to have been picked up by Eclipse and there is also Oracle Labs' Tribuo and Deep Java Library. All seem active, but I don't know much about any of them. I agree it's probably best to follow the community and use a more popular tool like PyTorch.
  • Stochastic gradient descent written in SQL
    3 projects | news.ycombinator.com | 7 Mar 2023
    We built model & data provenance into our open source ML library, though it's admittedly not the W3C PROV standard. There were a few gaps in it until we built an automated reproducibility system on top of it, but now it's pretty solid for all the algorithms we implement. Unfortunately some of the things we wrap (notably TensorFlow) aren't reproducible enough due to some unfixed bugs. There's an overview of the provenance system in this reprise of the JavaOne talk I gave here https://www.youtube.com/watch?v=GXOMjq2OS_c. The library is on GitHub - https://github.com/oracle/tribuo.
  • Just want to vent a bit
    3 projects | /r/ProgrammingLanguages | 3 Dec 2022
    Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
  • Anybody here using Java for machine learning?
    11 projects | /r/java | 13 Sep 2022
    We've been developing Tribuo on Github for two years now, MS are very actively developing ONNX Runtime (and the Java layer is fairly thin and wrapped over the same C API they use for node.js and C#), and things like XGBoost and LibSVM have been around for many years and the Java bits are developed in tree with the rest of the code so updated along with it. Amazon have a team of people working on DJL, though you'd have to ask them what their plans are.
  • txtai 3.4 released - Build AI-powered semantic search applications in Java
    4 projects | /r/java | 9 Oct 2021
    Tribuo (tribuo.org, github.com/oracle/tribuo). ONNX export support is there for 2 models at the moment in main, there's a PR for factorization machines which supports ONNX export, and we plan to add another couple of models and maybe ensembles before the upcoming release. Plus I need to write a tutorial on how it all works, but you can check the tests in the meantime.
  • John Snow Labs Spark-NLP 3.1.0: Over 2600+ new models and pipelines in 200+ languages, new DistilBERT, RoBERTa, and XLM-RoBERTa transformers, support for external Transformers, and lots more!
    3 projects | /r/java | 8 Jun 2021
    It might be worth having a look at the ONNX Runtime Java API in addition to TF-Java, it'll let you deploy the rest of the HuggingFace pytorch models that don't have TF equivalents. I built the Java API a few years ago, and it's now a supported part of the ONNX Runtime project. We use it in Tribuo to provide one of our text feature embedding classes (BERTFeatureExtractor).
  • If it gets better w age, will java become compatible for machine learning and data science?
    7 projects | /r/java | 20 May 2021
    Or more recently Tribuo or others.
    7 projects | /r/java | 20 May 2021
    The IJava notebook kernel works pretty well for data science on top of Java. We use it in Tribuo to write all our tutorials, and if you've got the jar file in the right folder everything is runnable. For example, this is our intro classification tutorial - https://github.com/oracle/tribuo/blob/main/tutorials/irises-tribuo-v4.ipynb.
  • Vector API (JEP 338) Benchmark Results for Matrix Multiplication, Image Convolution, and Image Thresholding.
    2 projects | /r/java | 22 Mar 2021
    That sounds good. The Panama team welcome feedback. I've been using it on and off for about 4 years while it's been in development to accelerate some ML workloads (full disclosure, I work in the machine learning group in Oracle's research labs), and it's improved greatly in that time. I plan to circle back now Java 16 is out and test out vectorising Tribuo's math ops.

What are some alternatives?

When comparing Smile and Tribuo you can also consider the following projects:

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

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.

Weka

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Breeze - Breeze is a numerical processing library for Scala.

Apache Flink - Apache Flink

oj! Algorithms - oj! Algorithms

ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.

tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala

Apache Mahout - Mirror of Apache Mahout

JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning