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Flood-Detection-from-Images-using-Deep-Learning
Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.Phishing-Websites-Classification-using-Deep-Learning
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 reduction techniques are used for comparison.CLIPping-the-Deception
Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".Video-Transformer-for-Deepfake-Detection
This is the PyTorch implementation of our ACM Multimedia 2021 paper titled "Video Transformer for Deepfake Detection with Incremental Learning".Sentence-Completion-using-Hidden-Markov-Models
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 way to use a language model for this problem is to consider a possible candidate word for the sentence at a time and then ask the language model which version of the sentence is the most probable one.Named-Entity-Recognition-using-Structured-Perceptron-Python
Named Entity Recogniser using Structured Perceptron in PythonSimple-SQL-XSS-Fuzzing-Tool-PYTHON-
Adversarial-Attack-on-Fine-Tuned-Flood-Detection-Model
Implementation of FGSM (Fast Gradient Sign Method) attack on fine-tuned MobileNet architecture trained for flood detection in images.Searching-for-exotic-particles-in-high-energy-physics-using-classic-supervised-learning-algorithms
Supervised classification algorithms employed to explore and identify Higgs bosons from particle collisions, like the ones produced in the ​Large Hadron Collider​. HIGGS dataset is used.​.Efficient-Named-Entity-Recognizer-using-Structured-Perceptron-Viterbi-and-Beam-Search-Python
This script employs Dynamic Programming algorithms such as, Viterbi Search and Beam Search, to accelerate the process of training Multilayer PerceptronLove Open Source and this site? Check out how you can help us