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SFI-MediaFutures, University of Bergen
- Bergen, Norway
- https://linkedin.com/in/sohail-ahmed-khan-97794b175/
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sfimediafutures/CLIPping-the-Deception
sfimediafutures/CLIPping-the-Deception PublicCode and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
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Flood-Detection-from-Images-using-Deep-Learning
Flood-Detection-from-Images-using-Deep-Learning PublicFlood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.
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Phishing-Websites-Classification-using-Deep-Learning
Phishing-Websites-Classification-using-Deep-Learning PublicA detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality …
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Video-Transformer-for-Deepfake-Detection
Video-Transformer-for-Deepfake-Detection PublicThis is the PyTorch implementation of our ACM Multimedia 2021 paper titled "Video Transformer for Deepfake Detection with Incremental Learning".
Jupyter Notebook 6
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Sentence-Completion-using-Hidden-Markov-Models
Sentence-Completion-using-Hidden-Markov-Models PublicThe goal of this script is to implement three langauge models to perform sentence completion, i.e. given a sentence with a missing word to choose the correct one from a list of candidate words. The…
Python 6
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Efficient-Named-Entity-Recognizer-using-Structured-Perceptron-Viterbi-and-Beam-Search-Python
Efficient-Named-Entity-Recognizer-using-Structured-Perceptron-Viterbi-and-Beam-Search-Python PublicThis script employs Dynamic Programming algorithms such as, Viterbi Search and Beam Search, to accelerate the process of training Multilayer Perceptron
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