spidr
Accelerated machine learning with dependent types (by joelberkeley)
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. (by deeplearning4j)
| spidr | Deeplearning4j | |
|---|---|---|
| 4 | 13 | |
| 61 | 13,427 | |
| - | 0.3% | |
| 5.9 | 5.8 | |
| 7 days ago | 5 days ago | |
| Idris | Java | |
| Apache License 2.0 | Apache License 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.
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.
spidr
Posts with mentions or reviews of spidr.
We have used some of these posts to build our list of alternatives
and similar projects.
- Accelerated machine learning with dependent types
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[Project] Idris and XLA: linear algebra and probabilistic modelling w. dependent types
In June, I announced I'd started work on a probabilistic modelling library in Idris. This post is to announce the first major milestone: basic linear algebra in Idris backed by XLA. Right now, this is only addition, but other ops are easy to add from here.
[In June](https://www.reddit.com/r/MachineLearning/comments/o9lqb8/probabilistic_modelling_project_w_dependent_types/?utm_source=share&utm_medium=web2x&context=3), I started work on a probabilistic modelling [library](https://github.com/joelberkeley/spidr) in Idris. This post is to announce the first major milestone: *basic linear algebra in Idris backed by XLA*. Right now, this is just addition, but adding ops will be easy from here.
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ML engineering as [research]. Probabilistic modelling [project] w. dependent types. Early stages
I've been working almost full time on a probabilistic modelling framework with an API in Idris, a purely functional programming language with a very advanced type system incl. dependent types (you can parametrise tensor types by their shape, and more), quantitative types and theorem proving.
Deeplearning4j
Posts with mentions or reviews of Deeplearning4j.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-29.
- 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