deep-diamond VS notespace

Compare deep-diamond vs notespace and see what are their differences.

deep-diamond

A fast Clojure Tensor & Deep Learning library (by uncomplicate)

notespace

using your namespace as a notebook (by scicloj)
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deep-diamond notespace
16 3
414 145
1.0% 0.7%
7.6 3.2
about 1 month ago 3 months ago
Clojure Clojure
Eclipse Public License 1.0 Eclipse Public 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.

deep-diamond

Posts with mentions or reviews of deep-diamond. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-14.
  • LLaMA-rs: Run inference of LLaMA on CPU with Rust 🦀🦙
    2 projects | /r/rust | 14 Mar 2023
    I had some "classical ML" knowledge and knew a bit about the math behind DL and tensors in general thanks to the book Deep Learning for Programmers showcased in this repo: https://github.com/uncomplicate/deep-diamond (it's not in Rust, and I'm not sure what the current state of it is, though!).
  • I want to quit my data analyst job and learn and become a Clojure developer
    5 projects | /r/Clojure | 2 Jun 2021
    Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.
  • LLVM!
    10 projects | /r/Clojure | 29 Apr 2021
  • Applications of Deep Neural Networks [pdf]
    3 projects | news.ycombinator.com | 24 Jan 2021
    If I may drop in with a bit of shameless self-promotion.

    My "Deep Learning for Programmers: A Tutorial with CUDA, OpenCL, DNNL, Java, and Clojure" book explains and executes every single line of code interactively, from low level operations to high-level networks that do everything automatically. The code is built on the state of the art performance operations of oneDNN (Intel, CPU) and cuDNN (CUDA, GPU). Very concise readable and understandable by humans.

    https://aiprobook.com/deep-learning-for-programmers/

    Here's the open source library built throughout the book:

    https://github.com/uncomplicate/deep-diamond

    Some chapters from the beginning of the book are available on my blog, as a tutorial series:

    https://dragan.rocks

notespace

Posts with mentions or reviews of notespace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-24.

What are some alternatives?

When comparing deep-diamond and notespace you can also consider the following projects:

tech.ml.dataset - A Clojure high performance data processing system

neanderthal - Fast Clojure Matrix Library

compare_gan - Compare GAN code.

clojisr - Clojure speaks statistics - a bridge between Clojure to R

scicloj.ml - A Clojure machine learning library

mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

tablecloth - Dataset manipulation library built on the top of tech.ml.dataset

Beagle - Beagle helps you identify keywords, phrases, regexes, and complex search queries of interest in streams of text documents.

waqi - REPL-driven data visualizations with Clojure and Vega/Vega-Lite in the browser

geni - A Clojure dataframe library that runs on Spark