jedhy
mgl
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jedhy
mgl
- Gabor Melis - Google AI Contest Winner - Conversation and Presentation (2013) (@melisgl, author of MGL)
- MGL: A Common Lisp machine learning library
-
Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
If you are interested in machine learning, check out Gabor Melis's library: https://github.com/melisgl/mgl. It's not an area I'm super familiar with, so I can't speak to it's feature set, but I believe he used it to win a machine learning competition some years ago.
I don't think anyone's written a transformer or diffusion model with it, could be a fun challenge.
- Mgl: Common Lisp machine learning library
- what library/language combination is good for regression and classification
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New Lisp-Stat Release
although not necessarily bert or resnet the following probably has all the ingredients for what you are looking for. the author of this library is a research scientist at deepmind since 2015
https://github.com/melisgl/mgl#x-28MGL-BP-3A-40MGL-BP-20MGL-...
- Update: Μαθήματα πρόγραμματισμου.
- Why Hy?
What are some alternatives?
cmu-infix - Updated infix.cl of the CMU AI repository, originally written by Mark Kantrowitz [Moved to: https://github.com/quil-lang/cmu-infix]
quilc - The optimizing Quil compiler.
hy-mode - Hy mode for Emacs
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
ghdl - Binary Manager for Github Releases
pgcharts - Turn your PostgreSQL queries into Charts
py4cl - Call python from Common Lisp
damascus-tools
criterium - Benchmarking library for clojure
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
JWM - Cross-platform window management and OS integration library for Java