A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection
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Updated
Jul 5, 2017 - HTML
A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection
Implementation of face verification and face recognition system. Most of the work i did in this notebook was inspired by FaceNet paper(https://arxiv.org/abs/1503.03832) . It was also an assignment of deep learning specialization in coursera.
Face-Recognition Notebook & Demo using principal component analysis.
Jupyter Notebook Guide for implementing Face Recognition and Face Verification algorithms with Tensorflow framework.
Notebooks of programming assignments of CNN course of deeplearning.ai on coursera in September-2019
🤖Notebooks of machine learning for beginners developed by the Institute of Coding - Northumbria University
Face Swapping Beteenm people. A Simple colab notebook testing.
Face detection and recognition into 6 classes of some famous personalities.
Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook
One-shot Learning and deep face recognition notebooks and workshop materials
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Personal projects on various topics
Projeto final de conclusão da disciplina de Visão Computacional voltado a auditoria de vídeo e construção de classificadores baseado em transfer learning.
Notebooks from Andrew Ng's CNNs Course
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
A repository of notebooks with cnn for identifying different emotions in different combinations
A collection of my Jupyter notebooks, showcasing my exploration and learning journey in the field of Computer Vision
Gender classification model that uses a CNN to classify images of faces as male or female. The notebook includes code for data preprocessing, model architecture, training, and evaluation which will then be used for algorithmic bias detection.
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