neural_nets_libversion
A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax
OCaml Compiles Algorithms for Neural Networks Learning is a compiled Deep Learning framework that puts emphasis on low-level backends (like tinygrad), shape inference, concise notation (ab)using PPX.
Tags | deeplearning tensor backprop jit gccjit CUDA |
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Author | Lukasz Stafiniak |
License | BSD-2-Clause |
Published | |
Homepage | https://github.com/lukstafi/ocannl |
Issue Tracker | https://github.com/lukstafi/ocannl/issues |
Maintainer | Lukasz Stafiniak <lukstafi@gmail.com> |
Dependencies |
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Source [http] | https://github.com/lukstafi/ocannl/archive/refs/tags/0.4.0.1.tar.gz md5=179e3bf2a47d49e71eaffa8229bcf1b8 sha512=5e93c09c065ff34b7bdc32be9e5783a5ee22c7506c08d78201a81ab749708354a487a60bd101a80c0c087ba0937e055e4875295ab4c2c2ea107cc57a4241da44 |
Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.4.0/opam |
No package is dependent