XDA Developers on MSN

TinyML is the most impressive piece of software you can run on any ESP32

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.
GitHub

lalithanjaliaruna123/Anomaly_Based_NIDS

Anomaly-NIDS-Project/ ├── data/ # Raw and processed dataset (ignored in Git) ├── models/ # Saved models and training checkpoints ├── scripts/ # Python scripts for training, evaluation, detection │ ├── ...
GitHub

AdityaBhargavaReddy/VitalSense_Adaptive_Anomoly_detector

# VitalSense — Adaptive Anomaly Detector with Meta-Learning (Scaffold) **Stack**: Python, PyTorch, learn2learn (optional), Streamlit **Features included in this ...
IEEE

Dual-Constraint Autoencoder and Adaptive Weighted Similarity Spatial Attention for Unsupervised Anomaly Detection

Abstract: Image reconstruction-based methods with autoencoder have been widely used for unsupervised anomaly detection. By training the reconstruction on normal ...
IEEE

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection

Abstract: Inspired by the complexity and diversity of biological neurons, a quadratic neuron is proposed to replace the inner product in the current neuron with a simplified quadratic function.