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Ali Fayzi's Projects

anti-spoofing icon anti-spoofing

Anti-spoofing with deep learning is a technique that uses convolutional neural networks (CNNs) to prevent unauthorized access by malicious actors who impersonate legitimate users, particularly in image-based data such as facial recognition. These networks are trained to recognize specific features of biometric data that indicate authenticity.

arcface-tf2 icon arcface-tf2

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

colourisation icon colourisation

This project implements a neural network for image colourisation using the popular Unet architecture. While Unet is typically used for image segmentation tasks, it can also be used for image reconstruction and colourisation..

deep-q-learning-cart-pole icon deep-q-learning-cart-pole

Implementing the Deep Q learning algorithm ( Reinforcement Learning ) with gym toolkit and Tensorflow Framework (CartPole Environment )

deepface-onnx icon deepface-onnx

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python With ONNX

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

hi-sam icon hi-sam

[arXiv preprint] Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation

jepa icon jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

q-learning-gym-frozenlake icon q-learning-gym-frozenlake

Implementing the Q learning algorithm ( Reinforcement Learning ) with gym toolkit ( Frozen Lake Environment )

q-learning-gym-taxi-v3 icon q-learning-gym-taxi-v3

Implementing the Q learning algorithm ( Reinforcement Learning ) with gym toolkit ( Taxi-v3 Environment )

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