From 668fb645c658b7ff02067376f060ccfc9955c8bc Mon Sep 17 00:00:00 2001 From: Baurzhan Atynov Date: Fri, 15 May 2026 15:22:23 +0500 Subject: [PATCH] Add nn2 to Machine Learning --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c03a3b3d5..272f38aed 100644 --- a/README.md +++ b/README.md @@ -866,6 +866,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny * [Minerva](https://github.com/dmlc/minerva) - A fast and flexible system for deep learning. [Apache2] * [mlpack](https://github.com/mlpack/mlpack) - A scalable c++ machine learning library. [LGPLv3] [website](http://www.mlpack.org/) * [ncnn](https://github.com/Tencent/ncnn) - A high-performance neural network inference computing framework optimized for mobile platforms. [BSD] +* [nn2](https://github.com/facex-engine/facex/tree/master/nn2) - Tiny zero-dependency neural network inference engine in pure C with hand-written AVX-512 / AVX2 / NEON SIMD kernels. Used as the runtime for the FaceX face engine. [Apache2] * [OpenCV](https://github.com/Itseez/opencv) :zap: - Open Source Computer Vision Library. [BSD] [website](http://opencv.org/) * [oneDAL](https://github.com/oneapi-src/oneDAL) - A powerful machine learning library that helps speed up big data analysis. [Apache] * [ONNX runtime](https://github.com/microsoft/onnxruntime) - C and C++ library for training and inference ONNX models. ONNX is a standard that AI models can be converted into, regardless of the library they are trained with. [MIT] [website](https://onnxruntime.ai/)