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/0.3.3.3.tar.gz md5=9170d4d98422350c9a73a95adfb795dc sha512=c1b024a69b1d0338af6e34508dbf6dccf3c2b6cc156e7628c3d7853c7040e225bdfc0a8731bb4db5a97edba90e26439987bfa505154d23af46f119c07ad809ed |
Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.3.3/opam |
No package is dependent