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 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/0.6.0.4.tar.gz md5=5beaaa0b377bec3badffffbf9f4dec4a sha512=a37a67452746143f0f5ba2e81f98d6fed31fb4397e0a85f4a35aedc805b4e0405ea89d465c6f80941c465fb61d5d6119806cb73b5c5ead925797eb80d19c5ade |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.6.0/opam |
No package is dependent
