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Netflix/vectorflow
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Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments.
Original blog posthere.
The library is distributed as adub package. Addvectorflow to thedependencies section of yourdub.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
If you're new toD, keep reading. You will needdub (the D package manager) andLDC (the LLVM-based D compiler).
brew install dubbrew install ldcapt-get install -y curl xz-utilscurl -fsS https://dlang.org/install.sh | bash -s ldcsource ~/dlang/ldc-{VERSION}/activateTo run the RCV1 example (sparse logistic regression):
cd examples && ./compile_run.sh rcv1.dTo run the tests:
dub testvectorflow usesddoc.One way of building and serving the documentation locally (you will needlibevent for serving) is:
dub build -b ddox && dub run -b ddoxOr use your favorite DDOC compiler.
Please also refer to the repo wiki.
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