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aes-sidechannel

alexa-webupdate

apfda

awesome_face_antispoofing

Single Shot Face Anti-spoofing.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bingobjectness

BING Objectness proposal estimator Matlab wrapper. More in http://mmcheng.net/bing/

convolutionalneuralstyletransfer

Superimposing style of an input image with the content of another given image.

cs229

cse-545-big-data

Assignments for CSE 545 Grad level Big Data coursework at Stony brook CS by Prof. H Andrew Schwartz during the Spring 2020.

deeppixel

An attempt to transfer the style of one image to the other to be increased to further photographic enhancements

deepproposal

code for DeepProposal paper presented in ICCV 2015

deepstream_tlt_apps

Sample apps to demonstrate how to deploy models trained with TLT on DeepStream

depth-map

It gives a depth map for single image using pre-trained deep learning depth-net model.

depth_eigen_pytorch

Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network (https://arxiv.org/abs/1406.2283) in Pytorch

drk

easy-bnn-with-tf2.0

Here I put some implementations of Bayesian Neural Networks using Keras, TensorFlow Probability and TensorFlow 2.0. It is being used as a personal repo for me to learn about htis wonderful theme.

edge-detection

Canny edge detection. Demo can be found at

emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

emotion_recognition

employeemanagementsystem

Website for Employee Management System for an organisation managing different schools.

expressionnet

A CNN for facial expression recognition on fer2013

face-anti-spoofing

A simple face anti-spoofing based on CNN trained with HSV + YCrCb color feature, implemented with tensorflow and keras.

face-detection-using-cnn

This repository contains code base for an end to end implementation of a project titled "Face Detection using CNN"

facial-emotion-detection-using-convolutional-neural-networks-and-representational-autoencoder-units

This work showcases two independent methods for recognizing emotions from faces. The first method using representational autoencoder units, a fairly original idea, to classify an image among one of the seven different emotions. The second method uses a 8-layer convolutional neural network which has an original and unique design, and was developed from scratch. The models were trained on the JAFFE dataset, and we tested on a seperate JAFFE test set and a subjectively labeled Labeled Faces in the Wild data set.

facial-expression-recognition

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

facial-expression-recognition-webcam

This repository contains code for recognizing facial expression trained on custom CNN model that can run on your webcam

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

footballdata

A hodgepodge of JSON and CSV Football/Soccer data