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 |
|---|---|
| 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/0.4.1.1.tar.gz md5=b7618f68bb78540cbef30a35e9f127b6 sha512=eb42fde46a0c29a7a2db1de361af3b35991b1eb05501536cc5f72dcf3225f5305559295824935f4d6a9c0a2bf7b64f061c8304143f28cccc1baa745e4599792e |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.4.1/opam |
No package is dependent
