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/ahrefs/ocannl/archive/refs/tags/0.5.2.tar.gz md5=1f62613c37076ccb1c57a78c13a1a388 sha512=bccea3b2ad2cd6a96b1f03aaf8e127c800687a69191e5d09c7adf5e26c3bccd73f993eef91154a1ce2bcf4eeebf5bdb8d5372932018b4307515e8b6f5f4e94ab |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/neural_nets_lib/neural_nets_lib.0.5.2/opam |
No package is dependent
