neural_nets_libversion Documentation on ocaml.org
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 CUDA Metal |
|---|---|
| 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/ahrefs/ocannl/archive/refs/tags/0.6.1.2.tar.gz md5=529f0921963a6eee0194159a9c0fea41 sha512=fc16e8b6cd72cb2ae18277b3727d065fa6c1d137e3187f9586fb0bfe7edeb45597cb58f389e79c20d7e3ae80661e6f9f20e0b95dcbbf27ee5688bcc571d395dd |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.6.1/opam |
No package is dependent
