package neural_nets_lib
- Overview
- No Docs
You can search for identifiers within the package.
in-package search v0.2.0
A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.6.1.2.tar.gz
md5=529f0921963a6eee0194159a9c0fea41
sha512=fc16e8b6cd72cb2ae18277b3727d065fa6c1d137e3187f9586fb0bfe7edeb45597cb58f389e79c20d7e3ae80661e6f9f20e0b95dcbbf27ee5688bcc571d395dd
Description
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.
Dependencies (27)
-
ppx_minidebug
>= "2.3.0"
- ppx_expect
- ppx_variants_conv
- ppx_string
- ppx_sexp_conv
- ppx_here
- ppx_hash
- ppx_fields_conv
- ppx_compare
-
ppxlib
>= "0.36.0"
- camlzip
- time_now
- curl
- csv
- num
- sexplib
- stdio
-
pprint
>= "20230830"
-
angstrom
>= "0.15"
-
printbox-ext-plot
>= "0.12"
-
printbox-text
>= "0.12"
-
printbox
>= "0.12"
-
arrayjit
= version
-
base
>= "v0.17.0"
- dune-site
-
dune
>= "3.18"
-
ocaml
>= "5.3.0"
Used by
None
Conflicts
None
sectionYPositions = computeSectionYPositions($el), 10)"
x-init="setTimeout(() => sectionYPositions = computeSectionYPositions($el), 10)"
>
On This Page