Popular GitHub Repositories for Detecting Forgeries

Auto detecting, masking and inpainting with detection model.

Training and Detecting Objects with YOLO3

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Bumble's Private Detector - a pretrained model for detecting lewd images

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376

Tools for detecting wildlife in aerial images using active learning

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"

This program can recognize your mood by detecting your face and play song according your mood

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam

A DeepStack custom model for detecting common objects in dark/night images and videos.

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

PII Masker is an open-source tool for protecting sensitive data by automatically detecting and masking PII using advanced AI, powered by DeBERTa-v3. It provides high-precision detection, scalable performance, and a simple Python API for seamless integration into workflows, ensuring privacy compliance in various industries.

Detecting Autism Spectrum Disorder in Children With Computer?Vision - Adapting facial recognition models to detect Autism Spectrum?Disorder

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.