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Abdalrahman Ibrahim
corporateHead of AI Products Dev @ AGILOX,
Passionate about AI, Robotics, and Autonomous Systems, love problem solving and learning new skills.
Public projects
YOLOs-CPP
Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation, OBB, and classification. Built on ONNX Runtime and OpenCV. Optimized for CPU/GPU with quantization support.
C++
ros2_yolos_cpp
ROS2 adapters for the Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation, OBB, and classification. Built on ONNX Runtime and OpenCV. Optimized for CPU/GPU with quantization support.
C++cpluspluscpp17onnxruntime
Depths-CPP
A high-performance C++ header and application for real-time metric depth estimation, using models from Depth-Anything-V3. Powered by ONNX Runtime and OpenCV, it supports seamless inference for images, videos, and live camera feeds. Designed for flexibility and efficiency with execution options for TensorRT, CUDA, or CPU to suit various performance
C++
needle-rs
600 KB WASM runtime for Cactus Compute's Needle AI tool-calling models, Needle 3, 2 and 1 from one build. Browser, Cloudflare Workers, Node.js, Python, C FFI and no_std. Token-exact with the JAX reference. No backend, no API key.
Rustagentaibrowser-ai
ros2_yolos_trt
TensorRT-native YOLO inference for ROS 2 — detection, segmentation, pose, OBB, classification and monocular metric depth as composable lifecycle nodes on a zero-copy GPU pipeline.
C++
udacity-dlnd-pytorch-v3
Projects Solution of the Udacity Deep Learning Nanodegree.
HTML
