Vectorflow
**Vectorflow** is a minimalist neural network library optimized for sparse data and single machine environments. The project is written primarily in D, distributed under the Apache License 2.0 license, first published in 2017. It has gained significant community traction with 1,294 stars and 86 forks on GitHub.
Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments.
Original blog post here.
Installation
dub package
The library is distributed as a dub package. Add vectorflow to the dependencies section of your dub.json:
"vectorflow": "~>1.0.2"
The library itself doesn't have any dependencies. All you need is a recent D compiler.
LDC is the recommended compiler for the fastest runtime speed.
Tested on:
- Linux, OSX
- LDC version: >= 1.1.1
- DMD version: >= 2.073.1
Setting up a D environment
If you're new to D, keep reading. You will need dub (the D package manager) and LDC (the LLVM-based D compiler).
macOS
brew install dub
brew install ldc
Ubuntu
apt-get install -y curl xz-utils
curl -fsS https://dlang.org/install.sh | bash -s ldc
source ~/dlang/ldc-{VERSION}/activate
Examples
To run the RCV1 example (sparse logistic regression):
cd examples && ./compile_run.sh rcv1.d
Tests
To run the tests:
dub test
Documentation
vectorflow uses ddoc.
One way of building and serving the documentation locally (you will need libevent for serving) is:
dub build -b ddox && dub run -b ddox
Or use your favorite DDOC compiler.
Please also refer to the repo wiki.
Contributors
Showing top 8 contributors by commit count.