neanderthal
JiSE
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neanderthal | JiSE | |
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5 | 2 | |
1,042 | 102 | |
0.3% | - | |
7.0 | 2.6 | |
11 days ago | over 3 years ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | Eclipse Public License 2.0 |
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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.
JiSE
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Issues using annotations on method parameter types in ns :gen-class with array of non-primitive types
Yeah, that's what I did. You might want to look at the library jise too if you are doing a lot of work that can't be addressed with the built-in facilities.
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Clojure, Faster
It's possible to stay a bit above Java if you want to. JiSE allows staying in clojure and bootstrapped in the existing asm library (e.g., no need for a java compiler on the system, no added dependencies beyond what clojure provides for bytecode generation).
What are some alternatives?
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
libpython-clj - Python bindings for Clojure
deep-diamond - A fast Clojure Tensor & Deep Learning library
numcl-benchmarks - benchmarks against numpy, julia
magicl - Matrix Algebra proGrams In Common Lisp.
qvm - The high-performance and featureful Quil simulator.
rebel-readline - Terminal readline library for Clojure dialects
quilc - The optimizing Quil compiler.
Beagle - Beagle helps you identify keywords, phrases, regexes, and complex search queries of interest in streams of text documents.
burgled-batteries - A bridge between Python and Lisp (FFI bindings, etc.)
specter - Clojure(Script)'s missing piece
blis - BLAS-like Library Instantiation Software Framework