sohailahmedkhan/Sentence-Completion-using-Hidden-Markov-Models sohailahmedkhan/Sentence-Completion-using-Hidden-Markov-Models

  • Stars
    star
    6
  • Rank 2,539,965 (Top 51 %)
  • Language
    Python
  • Created over 5 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
sohailahmedkhan/Sentence-Completion-using-Hidden-Markov-Models
github

sohailahmedkhan

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

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.
Jupyter Notebook
26
star
2

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.
Jupyter Notebook
16
star
3

CLIPping-the-Deception

Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
Python
7
star
4

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".
Jupyter Notebook
6
star
5

Named-Entity-Recognition-using-Structured-Perceptron-Python

Named Entity Recogniser using Structured Perceptron in Python
Python
2
star
6

Simple-SQL-XSS-Fuzzing-Tool-PYTHON-

Python
2
star
7

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.
Jupyter Notebook
2
star
8

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.​.
Python
2
star
9

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
Python
1
star
10

Deepfake-Detection

Deepfake Detection: Analysing Model Generalisation Across Architectures, Datasets, and Pre-Training Paradigms
Jupyter Notebook
1
star