neanderthal
Fast Clojure Matrix Library (by uncomplicate)
numcl-benchmarks
benchmarks against numpy, julia (by numcl)
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neanderthal | numcl-benchmarks | |
---|---|---|
5 | 1 | |
1,042 | 4 | |
0.1% | - | |
7.0 | 0.0 | |
about 1 month ago | almost 4 years ago | |
Clojure | Python | |
Eclipse Public License 1.0 | 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.
neanderthal
Posts with mentions or reviews of neanderthal.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-23.
- AI’s compute fragmentation: what matrix multiplication teaches us
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Having trouble setting up Neanderthal.
There is the official Hello World https://github.com/uncomplicate/neanderthal/tree/master/examples/hello-world
- Da li u Srbiji , generalno prostoru balkana , ima "Ozbiljnih" Open source kreatora?
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Anybody using Common Lisp or clojure for data science
Did you have any occasion to evaluate neanderthal during your research? People seem to prefer it over core.matrix because it focus on primitive speed and sticking to BLAS idioms (as well as offering a decent api for working with GPU backends via cuda and opencl). I am curious to see if you did and found anything lacking there. I have a project on the backburner to try and target neanderthal for local search stuff, expressing problems in a high-level API that can then be baked into some numerically-friendly representation for efficient execution. It's often easier (trivial) to express solution representations, neighborhood functions, and objectives/constraints in a general purpose language, of which none of the things we like (sparse data structures, dynamically allocated stuff) are amenable to the contiguous memory, primitive numeric model that the hardware wants.
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I want to quit my data analyst job and learn and become a Clojure developer
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.
numcl-benchmarks
Posts with mentions or reviews of numcl-benchmarks.
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
For example, numcl aims to be a clone of numpy. The published benchmarks are not impressive. My aim is not to second guess the author or belittle his project and effort.
What are some alternatives?
When comparing neanderthal and numcl-benchmarks you can also consider the following projects:
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
vellum - Data Frames for Common Lisp
libpython-clj - Python bindings for Clojure
qvm - The high-performance and featureful Quil simulator.
deep-diamond - A fast Clojure Tensor & Deep Learning library
statistical-learning - Statistical learning models for the Common Lisp
magicl - Matrix Algebra proGrams In Common Lisp.
CLPython - An implementation of Python in Common Lisp
rebel-readline - Terminal readline library for Clojure dialects
vellum-plot
neanderthal vs dtype-next
numcl-benchmarks vs vellum
neanderthal vs libpython-clj
numcl-benchmarks vs qvm
neanderthal vs deep-diamond
numcl-benchmarks vs statistical-learning
neanderthal vs magicl
numcl-benchmarks vs CLPython
neanderthal vs rebel-readline
numcl-benchmarks vs vellum-plot
neanderthal vs qvm
numcl-benchmarks vs dtype-next