neanderthal
Beagle
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neanderthal | Beagle | |
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5 | - | |
1,043 | 51 | |
0.2% | - | |
7.0 | 0.0 | |
about 1 month ago | almost 3 years ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | GNU General Public License v3.0 or later |
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
- 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.
Beagle
We haven't tracked posts mentioning Beagle yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
lingua - The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
libpython-clj - Python bindings for Clojure
deep-diamond - A fast Clojure Tensor & Deep Learning library
datalinguist - Stanford CoreNLP in idiomatic Clojure.
numcl-benchmarks - benchmarks against numpy, julia
JiSE - JiSE: Java in S-Expression
magicl - Matrix Algebra proGrams In Common Lisp.
hermes - A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the expression constraint language.
qvm - The high-performance and featureful Quil simulator.
rebel-readline - Terminal readline library for Clojure dialects