Alberto Fernández Villán

computer-vision-and-deep-learning-course. This repository contains both a collection of Jupyter Notebooks as well as other resources (e.g. presentations, links, ...) that are going to be used during the "Second quarter university extension courses" that the University of Oviedo is going to teach (online).

ml-dl-cv-references. These are my quick and dirty notes trying to follow main Machine Learning, Computer Vision & Deep Learning references

face-alignment. A face alignment method proposed in 'Glasses detection on real images based on robust alignment'

colaboratory-utils. Some useful (or not so much) Python stuff for Google Colab notebooks. Most of this stuff is taken from this repository: https://github.com/ricardodeazambuja/colab_utils

augmented-reality. Augmented reality proof of concept project with Python and OpenCV

paz. Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

android-vision. Java

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

ml-dl-cv-notebooks. Machine Learning, Deep Learning and Computer Vision notebooks (just for fun)

MaskTheFace. Convert face dataset to masked dataset

Emotion. :smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

eiti-eiasr. University Project: Traffic signs recognition with SVM algoritm running on HOG features

applied-ml. 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

pytorch-yolo-v3. A PyTorch implementation of the YOLO v3 object detection algorithm

algorithm-coding. Just a collection of algorithms problems from improving my coding ability & algorithm skills

fiftyone. The open-source tool for building high-quality datasets and computer vision models

deep-learning-coursera. Deep Learning Specialization by Andrew Ng on Coursera.

easy-tensorflow. Simple and comprehensive tutorials in TensorFlow

car-detection-yolo. Autonomous driving - car detection using the very powerful YOLO model

FMLD. A challenging, in the wild dataset for experimentation with face masks with 63,072 face images.