nagesh10 Goto Github PK
Type: User
Type: User
Implemented BFS, DFS, A* and IDA* to solve the n-puzzle problem
Collection of Artificial Intelligence projects.
A curated list of awesome affective computing π€β€οΈ papers, software, open-source projects, and resources
A curated list of awesome Deep Learning tutorials, projects and communities.
Deep Learning and deep reinforcement learning research papers and some codes
π π A reading list focused on Multimodal Emotion Recognition (MER) ππ π π¬
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A collection of datasets of ML problem solving
This repository contains some deep learning projects
My experiments with deep learning - Deep Neural Networks, Convolutional Neural Networks, Deep Autoencoders, Stacked
Understanding emotions from audio files using neural networks and multiple datasets.
Emotion detection from a live video
Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed
Emotion recognition using DEAP datasetοΌGSRγ
Emotion recognition example using the Jaffe database
Emotion recognition using DNN with tensorflow
FER with CNN and GSR
Facial Emotion Recognition using Convolutional Neural Networks
A simple detector of prototypic emotions from facial images captured in video, written in Python.
Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library
code for Emotion Recognition in the Wild (EmotiW) challenge
This repository conatins the implementation of designed Emotion Recognition model trained using Cohn-Kanade and fer-2013 datasets.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Facial Expression Recognition in android where the predictive model built in tensorflow using convolutional neural network
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.
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
Predicting facial expressions with machine learning algorithms
FER using CNN
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.