statistical-learning
Statistical learning models for the Common Lisp (by sirherrbatka)
dtype-next
A Clojure library designed to aid in the implementation of high performance algorithms and systems. (by cnuernber)
Our great sponsors
statistical-learning | dtype-next | |
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1 | 12 | |
11 | 310 | |
- | - | |
7.3 | 8.3 | |
about 2 months ago | about 2 months ago | |
Common Lisp | Clojure | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
statistical-learning
Posts with mentions or reviews of statistical-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
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Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
dtype-next
Posts with mentions or reviews of dtype-next.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-19.
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Lisp/Scheme/Clojure and APL/K (2016)
Related (?): https://github.com/cnuernber/dtype-next/blob/master/test/tec...
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A Tablecloth talk by Mey Beisaron at Func Prog Sweden this week
Tablecloth by generateme is a friendly & expressive table-processing library built on top of tech.ml.dataset & dtype-next, Chris Nuernberger's high-performance data libraries.
- Why Clojure is not widely adopted like mainstream languages?
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Notes on Optimizing Clojure Code: Arrays
There is one other detail here that I found out w/r/t arrays - Clojure's aset implementation returns the previous value; it isn't a faithful wrapper of the JVM's array set value instruction. Due to this if you are using aset on primitive arrays you end up boxing every value you are setting which at least in my tests leads to a performance disadvantage when compared to a tight loop using Java. This is why I have a specialized class implementing an aset that returns void.
- Dtype-next: a Clojure library to aid implementation of high performance systems
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Nested mapping?
If this is something common and the work is numeric, I would highly recommend exploring dtype-next buffer abstraction and tensors. The tensor api supports a nice APL-like substrate for working in index space without having to have the underlying storage "be" a boxed datastructure. You also get the option of off-heap / native tensors that can be zero-copy shuttled between other runtimes.
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Clojure High Performance Data Processing Updates
dtype-next - Major discoverability upgrades for the tech.v3.datatype and tech.v3.datatype.functional namespaces. Similarly to tmd, Cursive and Calva users now get full intellisense help with these main namespaces. Furthermore the FFI bindings now support linting with clj-kondo.
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Coffi, a Foreign Function Interface for JDK 17
One thing about the readme that is incorrect - [dtype-next](https://github.com/cnuernber/dtype-next)'s ffi does in fact support callbacks :-). It is used as the backend to [libpython-clj](https://github.com/clj-python/libpython-clj) where you certainly can call clojure functions from python.
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Anybody using Common Lisp or clojure for data science
There are some interesting efforts concurrent with scicloj work by Chris Nuernberger specifically dtype-next, and the earlier tech-jna stuff. It's the same stuff underlying libpython-clj and libjulia-clj. recent talk.
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clojure-rte: Clojure implementation of rational type expressions
This is great work. One of the things that has been on my mind working through our numerics stack is how to extend the number tower to complex numbers or more generally to arbitrary algebras. This project seems to me to be sort of a type-system-in-a-box that we can use to add arbitrary typing to Clojure where necessary/ideal. Thanks for sharing.
What are some alternatives?
When comparing statistical-learning and dtype-next you can also consider the following projects:
qvm - The high-performance and featureful Quil simulator.
neanderthal - Fast Clojure Matrix Library
numcl-benchmarks - benchmarks against numpy, julia
tech.ml.dataset - A Clojure high performance data processing system
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
vellum-plot
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
hissp - It's Python with a Lissp.
waqi - REPL-driven data visualizations with Clojure and Vega/Vega-Lite in the browser
vellum - Data Frames for Common Lisp
cljplot - JVM Clojure charting library
statistical-learning vs qvm
dtype-next vs neanderthal
statistical-learning vs numcl-benchmarks
dtype-next vs tech.ml.dataset
statistical-learning vs neanderthal
dtype-next vs tablecloth
statistical-learning vs vellum-plot
dtype-next vs hanami
statistical-learning vs hissp
dtype-next vs waqi
statistical-learning vs vellum
dtype-next vs cljplot