Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from Time-Embedded Transformer with Autoencoder"
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Updated
Sep 20, 2024 - Jupyter Notebook
Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from Time-Embedded Transformer with Autoencoder"
This repository contains code for generating captions for images using a Transformer-based model. The model used is the `VisionEncoderDecoderModel` from the Hugging Face Transformers library, specifically the `nlpconnect/vit-gpt2-image-captioning` model.
Incredibly fast Whisper-large-v3 with speaker diarization
Molecule Transformers Generator (MGT) consists in a simple transformers architecture to generate new molecules from a database of SMILES strings.
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