#neural-network #opencl #cuda #machine-learning #deep-learning

RayBNN_Neural

Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

6 releases (2 stable)

2.0.3 Jun 19, 2024
2.0.1 Jun 5, 2024
0.1.3 Jun 5, 2024
0.1.2 May 19, 2024

#493 in Machine learning

Download history 12/week @ 2024-05-11 435/week @ 2024-05-18 28/week @ 2024-05-25 280/week @ 2024-06-01 23/week @ 2024-06-08 137/week @ 2024-06-15 10/week @ 2024-06-22 15/week @ 2024-07-06

443 downloads per month

GPL-3.0-only

44KB
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RayBNN_Neural

Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

Install Arrayfire

Install the Arrayfire 3.9.0 binaries at https://arrayfire.com/binaries/

or build from source https://github.com/arrayfire/arrayfire/wiki/Getting-ArrayFire

Add to Cargo.toml

arrayfire = { version = "3.8.1", package = "arrayfire_fork" }
rayon = "1.10.0"
num = "0.4.3"
num-traits = "0.2.19"
half = { version = "2.4.1" , features = ["num-traits"] }
RayBNN_DataLoader = "2.0.3"
RayBNN_Graph = "2.0.3"
RayBNN_Sparse = "2.0.2"
RayBNN_Optimizer = "2.0.1"
RayBNN_Neural = "2.0.3"

List of Examples

Dependencies

~8.5MB
~162K SLoC