ResNet18 for Image Classification
PyTorch implementation of ResNet18 on CIFAR-10 dataset achieving 96.22%
A deep‑learning–based face detection and recognition pipeline built with facenet‑pytorch, combining MTCNN for face localization and InceptionResnetV1 for face embedding and identity matching. This project loads pre‑computed embeddings (embeddings.pt) and compares new faces against known identities using Euclidean distance.
Dynamic Activation of Neural Network Blocks Based on Graph Representation for Energy-Efficient Inference
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