Climate Change Fake News Detector

🤖 Flag and Detect Fake News with the help of AI

Content Farm Terminator browser extension/「終結內容農場」瀏覽器套件

A hangman game using the 6of12 word list, found at http://wordlist.sourceforge.net/, and included in the public domain by it's creator.

The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning

University project: News search engine with fake news detection

Open source api code for fact checking

Fork of http://www.kismetwireless.net/

Smart News Detector Bot is a Chrome extension that attaches itself to your Twitter timeline and provides a one-click solution to retrieving diverse perspectives on an issue.

Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).

Fake News Detection Competition

Combating the spread of Coronavirus in the European Union and around the world through the mitigation of fake news

Fake news generator and detector using keras

Fake NEWS detector using LIAR dataset.

Site for the Fake News Detector

I built my own Fake News Detector using NLP and Classification Models.

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

The fundamental package for scientific computing with Python.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

📏 A resizable component for React.

Algorithms implemented in JavaScript for beginners, following best practices.

Jupyter Interactive Notebook

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Python Data Science Handbook: full text in Jupyter Notebooks