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Based on our record, Julia seems to be a lot more popular than Armed Bear Common Lisp. While we know about 114 links to Julia, we've tracked only 4 mentions of Armed Bear Common Lisp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
ABCl (Armed Bear Common Lisp) is a Common Lisp that runs in the JVM. https://common-lisp.net/project/armedbear/. - Source: Hacker News / over 2 years ago
It would be good to remember that just because something runs on the jvm doesn't mean it's Java. Hell there is a common lisp that runs on the JVM (armored bear common lisp). Source: over 2 years ago
In Common Lisp, - native or FFI, there are a couple of libraries: see https://github.com/CodyReichert/awesome-cl#machine-learning - besides C, there is a way to interface with Java: https://github.com/CodyReichert/awesome-cl#java ; as well as an implementation abcl that runs over JVM - there are two ways to interact with python: https://github.com/CodyReichert/awesome-cl#python - using CFFI vs streams. Source: almost 3 years ago
Like this? https://common-lisp.net/project/armedbear/. - Source: Hacker News / about 3 years ago
I'm really not fond of that agpt landing page. So many red flags; the AI-generated background, mailing letter box with accompanying email-beggar text, the Discord button (!!!) being given as much space as the Github repo click-through... it's a mess. The whole website feels more boilerplate than content. I mean, look at these quotes! > With the help of the incredible open-source community, we’re making... - Source: Hacker News / 8 months ago
I’m wondering if there are any attempts for a ROS2 client library for Julia(lang)? I very much like the concepts of Julia and would like to use it in my robotics applications. I believe, that writing code in Julia is very efficient and productive. As a robotics engineer and researcher, I would definitively appreciate the possibility to use ROS2 with Julia. Source: 9 months ago
Kevin is a senior research scientist (read: fancy postdoc) at Wellesley College. He has a PhD in immunology, but transitioned to microbial genomics after graduate school, and now spends most of his time writing code (ask me about julia). His first postdoc was looking at the microbes that grow on the outer surface of cheese (it's a cool model system for studying microbial communities - here's the paper) and now... Source: 9 months ago
Julia is a great alternative in terms of raw speed/performance (not a compatible language). Source: 11 months ago
If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU. Source: 11 months ago
Steel Bank Common Lisp - Steel Bank Common Lisp (SBCL) is a high performance Common Lisp compiler.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.
GNU Octave - GNU Octave is a programming language for scientific computing.
CLISP - CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming