Multi-modal categorical fake news detector DistilFND trained on Fakeddit benchmark dataset to classify content within the 7 types of mis- and disinformation after Wardle (2017).

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…

The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).

Create interactive textual heat maps for Jupiter notebooks

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza

TensorFlow code and pre-trained models for BERT

EfficientNet-L2 weights in Keras and retrieval script modified from qubvel/efficientnet

This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"

A toolbox to iNNvestigate neural networks' predictions!

This repository contains code and dataset for the paper titled: SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning.

r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Models and examples built with TensorFlow

A very simple framework for state-of-the-art Natural Language Processing (NLP)

This is a dataset for fake news detection research