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1. sfimediafutures/CLIPping-the-Deception sfimediafutures/CLIPping-the-Deception Public

   Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".

   Python 50 7

2. Flood-Detection-from-Images-using-Deep-Learning Flood-Detection-from-Images-using-Deep-Learning Public

   Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.

   Jupyter Notebook 26 18

3. Phishing-Websites-Classification-using-Deep-Learning Phishing-Websites-Classification-using-Deep-Learning Public

   A 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 …

   Jupyter Notebook 16 11

4. Video-Transformer-for-Deepfake-Detection Video-Transformer-for-Deepfake-Detection Public

   This is the PyTorch implementation of our ACM Multimedia 2021 paper titled "Video Transformer for Deepfake Detection with Incremental Learning".

   Jupyter Notebook 6

5. Sentence-Completion-using-Hidden-Markov-Models Sentence-Completion-using-Hidden-Markov-Models Public

   The 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 7

6. Efficient-Named-Entity-Recognizer-using-Structured-Perceptron-Viterbi-and-Beam-Search-Python Efficient-Named-Entity-Recognizer-using-Structured-Perceptron-Viterbi-and-Beam-Search-Python Public

   This script employs Dynamic Programming algorithms such as, Viterbi Search and Beam Search, to accelerate the process of training Multilayer Perceptron

   Python 1 1