PyTorch implementation of MobileNet V4, a universal mobile neural network architecture from 2024. Reproduces the design described in the original paper by Qin et al., complementing the official TensorFlow implementation.
A lightweight anomaly detection daemon (sentinel-imxd) for NXP i.MX 8M Plus boards that monitors systemd journal and D-Bus events, normalizes them into INT8 vectors, and runs TensorFlow Lite autoencoders on the Vivante NPU to detect anomalies via reconstruction loss thresholding, with training on a host Docker environment and deployment via SSH.