FND
Fake News Detector
An AI-powered tool that detects whether news articles are fake or not
Fake News Detection AI
8 stars
1 watching
2 forks
Language: Python
last commit: over 1 year ago aiarticlefndhoaxmachine-learningnewspythonshieldsocialstreamlit
Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for defending against neural fake news through both generation and detection of fake news articles. | 918 |
| A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
| Develops and evaluates machine learning models for detecting financial fraud | 195 |
| A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 |
| An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
| An implementation of Faster R-CNN using MXNet for object detection tasks | 671 |
| Develops machine learning models to automatically detect wildfires from images | 7 |
| An object detection system using a novel receptive field block module to enhance feature discriminability and robustness. | 1,416 |
| An open-source people detection system using computer vision and machine learning techniques. | 13 |
| A toolbox for building and comparing graph neural network-based fraud detection models | 698 |
| A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 557 |
| An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 250 |
| A repository providing pre-trained models and training scripts for face detection using a deep neural network architecture | 23 |
| A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |
| An open-source framework for detecting factual errors in AI-generated text | 839 |