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acoustic_noise_cancellation

With two audio sources, one a desired output and one a noise source, you can adaptively filter the noise from your desired output.

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

expression-recognition

Expression recognition using CNN

face-expression-detect

face-expression prediction using python

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

facial-expression-recognition

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training

facial-expression-recognition-1

Facial expression recognition deep learning examples

facial-expression-recognition-2

Facial expression recognition with Deep Learning.

facial-expression-recognition-3

Facial Expression Recognition using Neural Netwroks

facial-expression-recognition-4

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-8

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

facial-expression-recognition-matlab-code

Facial Expression Recognition Matlab Code

facial-expression-recognition-using-cnn

Project about mood recognition using convolutional neural network for my college project

facial-expression-recognition-using-cnn-1

Deep facial expressions recognition using Opencv and Tensorflow

facial-expression-recognition-with-tensorflow-convolutional-neural-networks

facial_emotion_recognition

facialrecognition

Recognize Human Expressions using CNN and SVM

facialrecognition-1

Facial Expression Recognition with TensorFlow

happynet

Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo.

histogram-equalization-logarithmic-mapping-image-rotation-gaussian-averaging-filter-median-filter

Implementation of Histogram Equalization, Logarithmic Mapping, Image Rotation, Gaussian Averaging Filter and Median Filter. Histogram equalization is a method using which we can adjust image intensities that will enhance the contrast of the image. By applying the histogram, the intensities of the image can be distributed properly which will allow the area with lower contrast to gain proper higher contrast. To compress the dynamic range of an image we can replace each and every pixel value with their log values. By implementing this, we enhance the low intensity pixels of the image. Logarithmic mapping is a simple point process in which the mapping function is a log curve. Since the logarithm is not defined for, the equation of the log mapping function looks like given below: 𝐼′(𝑟,𝑐)=log(𝐼(𝑟,𝑐)+1). Rotation is the operation that will perform the geometric transformation of the image element which will be rotated at the given angle about an origin. Gaussian filter have a special type of property of not having any overshoot towards a step input function and it minimizes the fall and rise time, thus it has minimum delay in group. Due to this property the Gaussian filter is considered the ideal time domain filter. Median filter is basically used to remove the nonlinear noise in the images. Generally this is used in the preprocessing step in different image processing algorithms. The most significant reason to use the median filtering is that it preserves the edge information even after removing the nonlinear noise.

image_segmentation

texture and color based Image Segmentation using K-Means Clustering

jaffe-tensorflow

Crude CNN using tensorflow for facial emotion recognition on the JAFFE dataset

keras

Deep Learning for humans

ml-expression-recognition

Expression recognition using CNN.

models

Models and examples built with TensorFlow

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs