A coolection of tools for organizing directories, specifically converting the Labeled Faces of the Wild (cropped) to a common standard.
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Updated
Aug 17, 2017 - Python
A coolection of tools for organizing directories, specifically converting the Labeled Faces of the Wild (cropped) to a common standard.
Image Inpainting using Context Encoders
Face Recognition in Caffe using different VGGNet architectures on ColorFeret and LFW datasets
Porting pytorch dcgan on FloydHub
📚 A collection of ml datasets & corpuses
A simple colab notebook on validation of face recognition model on LFW test dataset.
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
Autoencoders test from Coursera's Advanced Machine Learning - Intro to Deep Learning course.
Analysing different dimensionality reduction techniques and svm
PcaNet, PCA Network, Deep Learning, Face Classification, LFW dataset, SVM
Face Recognition Implementation using PCA, eigenfaces, and SVM
PyTorch implementation of LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition
Facial Images Generation With Generative Adversarial Network (GAN)
Code for training and parameter tuning of a machine learning model for non-linear aggregation of image denoising estimators using COBRA combined regression strategy. The face images used for training and testing are taken from the Labelled Faces in the Wild (LFW) dataset.
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier
Face Recognition with convolutional neural network (CNN) on Labeled Faces in the Wild (LFW) dataset
A recognition process of images contained in the LFW database http://vis-www.cs.umass.edu/lfw/#download is carried out using two models, one based on the minimum distance between training image records and test and another that is an adaptation of the CNN KERAS model https://keras.io/examples/vision/mnist_convnet/. Both models are complementary.…
A PyTorch Implementation of ShuffleFaceNet.
dog breed classifier based on convnets, using catdog and lfw datasets.
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