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

pjreddie/darknet
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.
Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Neural networks framework in pure C: training and inference, no dependencies.
A C library for product recommendations/suggestions using collaborative filtering (CF).
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.
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.
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.