Skip to content
#

arm-neon

Here are 22 public repositories matching this topic...

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

  • Updated Oct 16, 2018
  • C++
SimSIMD

Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

  • Updated May 26, 2024
  • C

Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.

  • Updated Feb 11, 2018
  • C++

Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.

  • Updated Feb 12, 2018
  • C++

Improve this page

Add a description, image, and links to the arm-neon topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the arm-neon topic, visit your repo's landing page and select "manage topics."

Learn more