YOLOv8ultralytics/ultralytics
Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.

alrevuelta/cONNXr
An ONNX runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
A C library for product recommendations/suggestions using collaborative filtering (CF).
Neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.
Neural networks framework in pure C: training and inference, no dependencies.
A native C CPU inference engine for running the 284B-A13B DeepSeek-V4-Flash-0731 on one laptop, reaching up to 1.12 token/s on tested hardware while streaming the 167 GB checkpoint from disk with a tested 8 GB memory path and no GPU or Python.