YOLOX is an anchor-free version of YOLO for object detection, achieving better performance than prior YOLO versions with a simpler design. It is implemented in PyTorch and also has a MegEngine implementation. The project supports deployment via ONNX, TensorRT, ncnn, and OpenVINO, making it suitable for industrial applications.