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|Eclipse Public License 1.0||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.
Deep Diamond 0.22.0 released
1 project | reddit.com/r/Clojure | 9 Mar 2022
What are some book suggestions you have for someone that is interested in learning about neural networks?
1 project | reddit.com/r/neuralnetworks | 29 Oct 2021
Reading the Deep Learning Book by Goodfellow
1 project | reddit.com/r/csMajors | 5 Jul 2021
Arkadaşlar biraz programlama temelim var, makine öğrenmesine girmek istiyorum, ücretsiz kaynak önerebilir misiniz?
1 project | reddit.com/r/KGBTR | 8 Jun 2021
Some Maths Resources to Help You in Your ML Journey
1 project | reddit.com/r/learnmachinelearning | 7 Jun 2021
I want to quit my data analyst job and learn and become a Clojure developer
5 projects | reddit.com/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.
10 projects | reddit.com/r/Clojure | 29 Apr 2021
Deep learning book that makes no assumptions for the reader beyond high school math?
1 project | reddit.com/r/learnmachinelearning | 9 Apr 2021
Deep Diamond 0.19.0 has been released
1 project | reddit.com/r/Clojure | 28 Feb 2021
Is knowledge of probability useful to understand the theory of Deep Learning, or do other perspectives work?
1 project | reddit.com/r/deeplearning | 25 Jan 2021
Any QA debug crash libraries you recommend?
2 projects | reddit.com/r/androiddev | 10 Feb 2022
Debug vs Release when publishing to internal test track
1 project | reddit.com/r/androiddev | 19 Feb 2021
For all of my projects i'm using Release build for internal QA, but i do have a special flavor "debuggable" for them. In this flavor i integrate additional tools like Beagle, Chucker or any other tool that's useful in bug reporting. Works great so far
What are some alternatives?
tech.ml.dataset - A Clojure high performance data processing system
chucker - 🔎 An HTTP inspector for Android & OkHTTP (like Charles but on device)
clojisr - Clojure speaks statistics - a bridge between Clojure to R
neanderthal - Fast Clojure Matrix Library
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
lucene-grep - Grep-like utility based on Lucene Monitor compiled with GraalVM native-image
Beagle - Beagle helps you identify keywords, phrases, regexes, and complex search queries of interest in streams of text documents.
Suggestive 🍌 - An Android UI library that allows easy implementation of (text) input suggestion popup windows.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
compare_gan - Compare GAN code.