sohailahmedkhan Goto Github PK

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.

best-readme-template

An awesome README template to jumpstart your projects!

clipping-the-deception

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

custom-video-dataset-in-pytorch

Notes about usage: This code is to create a custom video dataset to train deeplearning models using PyTorch on consecutive video frames extracted from a video. This code expects the extracted video frames in separate folders. For example, video1's frames will be in a folder named 'video1'. You can use OpenCV to extract video frames and save inside folders.

deepfake-detection

Deepfake Detection: Analysing Model Generalisation Across Architectures, Datasets, and Pre-Training Paradigms

detecting-cheapfakes-code

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 Perceptron

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.

keras

Deep Learning for humans

language-modeling-using-pytorch

A very simple Neural Language Model in PyTorch

lrnet

Landmark Recurrent Network: An efficient and robust framework for Deepfakes detection

named-entity-recognition-using-structured-perceptron-python

Named Entity Recogniser using Structured Perceptron in Python

opencv-face-extraction

OpenCV face detection and extraction from videos.

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.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

resume

Personal Website

scalableml

COM6012 Scalable Machine Learning - University of Sheffield

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.​.

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.

simple-sql-xss-fuzzing-tool-python-

sohailahmedkhan.github.io

My Resume

stable-diffusion-webui

Stable Diffusion web UI

transformers

This repository contains resources relating to Transformer models including theoretical concepts and code examples.

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".