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

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

论文阅读 实验记录 心得体会

Projeto final de conclusão da disciplina de Visão Computacional voltado a auditoria de vídeo e construção de classificadores baseado em transfer learning.

🤖Notebooks of machine learning for beginners developed by the Institute of Coding - Northumbria University

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

A repository of notebooks with cnn for identifying different emotions in different combinations

Face-Recognition Notebook & Demo using principal component analysis.

Face Swapping Beteenm people. A Simple colab notebook testing.

Notebooks from Andrew Ng's CNNs Course

Python Notebook to Compare two faces using Machine Learning.

Personal projects on various topics

Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

This repository contains the colab notebooks that I worked on while developing the Optimized Facial Feature Classification Project

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.

A collection of my Jupyter notebooks, showcasing my exploration and learning journey in the field of Computer Vision

This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.

A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection