AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (+118.18%)
ferFacial Expression Recognition
Stars: ✭ 32 (+45.45%)
XEDXED multilingual emotion datasets
Stars: ✭ 34 (+54.55%)
facial-expression-recognitionThe 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
Stars: ✭ 60 (+172.73%)
Emotion-InvestigatorAn Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
Stars: ✭ 44 (+100%)
haskell-vaeLearning about Haskell with Variational Autoencoders
Stars: ✭ 18 (-18.18%)
Emotion and Polarity SOAn emotion classifier of text containing technical content from the SE domain
Stars: ✭ 74 (+236.36%)
emoticPyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
Stars: ✭ 57 (+159.09%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (+40.91%)
STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Stars: ✭ 39 (+77.27%)
hfusionMultimodal sentiment analysis using hierarchical fusion with context modeling
Stars: ✭ 42 (+90.91%)
dissertation🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.
Stars: ✭ 22 (+0%)
celery-connectorsWant to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Includes Kombu message processors using native Producer and Consumer classes as well as ConsumerProducerMixin workers for relay publish-hook or caching
Stars: ✭ 37 (+68.18%)
aws-mlu-explainVisual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Stars: ✭ 46 (+109.09%)
amqpextraGolang AMQP on steroids. Reliable connection. Publisher. Consumer.
Stars: ✭ 59 (+168.18%)
b-rabbitA thread safe library that aims to provide a simple API for interfacing with RabbitMQ. Built on top of rabbitpy, the library make it very easy to use the RabbitMQ message broker with just few lines of code. It implements all messaging pattern used by message brokers
Stars: ✭ 15 (-31.82%)
go-amqp-reconnectauto reconnecting example for github.com/streadway/amqp Connection & Channel
Stars: ✭ 79 (+259.09%)
ponosAn opinionated queue based worker server for node.
Stars: ✭ 85 (+286.36%)
raspberrypi-bootsimple spring boot application running on raspberry pi measuring data via bmp085 sensor
Stars: ✭ 17 (-22.73%)
smart-cloud-examples基于springcloud的脚手架(smart-cloud)示例,支持服务合并部署与拆分部署、接口加解密签名、日志数据脱敏、接口数据mock、接口文档自动生成、请求幂等校验、接口日志&&sql日志切面打印、分表分库分布式事务等
Stars: ✭ 23 (+4.55%)
facial-landmarksFacial landmarks detection with OpenCV, Dlib, DNN
Stars: ✭ 25 (+13.64%)
formatbot1Make instant view easily and fast, from any article on the internet in the best messenger ever Telegram
Stars: ✭ 127 (+477.27%)
OpenMessageReceive messages from multiple sources using a centralised delivery pipeline
Stars: ✭ 23 (+4.55%)
net-amqp-rabbitmqPerl bindings to the librabbitmq-c AMQP library.
Stars: ✭ 23 (+4.55%)
http-proxy-amqpan amqp connection pool implementation
Stars: ✭ 17 (-22.73%)
dockercollection of docker / docker-compose files, dind, gitlab, jenkins, mongo, mysql, oracle, rabbitmq, redis, sonarqube
Stars: ✭ 25 (+13.64%)
webapi-backgroundworker-rabbitmqSample implementation of a WebApi that publishes messages to RabbitMQ and consume them using a BackgroundWorker.
Stars: ✭ 20 (-9.09%)
dockerXExamples of amazing Docker/Docker-Compose/Docker Swarm technologies
Stars: ✭ 17 (-22.73%)
FMPN-FEROfficial PyTorch Implementation of 'Facial Motion Prior Networks for Facial Expression Recognition', VCIP 2019, Oral
Stars: ✭ 76 (+245.45%)
HiGRUsImplementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
Stars: ✭ 60 (+172.73%)
seckill parent基于springboot+springcloud的高并发和商品秒杀项目,通过redis,rabbitmq等技术实现秒杀的高并发。
Stars: ✭ 59 (+168.18%)
Face-Recognition-SystemIntelligent Facial Recognition with Django Restful IoT on Raspberry Pi
Stars: ✭ 46 (+109.09%)
rb-spider基于 RabbitMQ 中间件的爬虫的 Ruby 实现 [Developing]
Stars: ✭ 13 (-40.91%)
GuessWhichEvaluating Visual Conversational Agents via Cooperative Human-AI Games
Stars: ✭ 20 (-9.09%)
Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-SystemComputer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…
Stars: ✭ 60 (+172.73%)
momProof of concept for Message-Oriented-Middleware based architecture.
Stars: ✭ 39 (+77.27%)
epiphanyCloud and on-premises automation for Kubernetes centered industrial grade solutions.
Stars: ✭ 114 (+418.18%)
RabbitMQ-with-DjangoExample for using Microservices with RabbitMQ in a Django Web-Application
Stars: ✭ 26 (+18.18%)
nabbitmqNode.js library for interacting with RabbitMQ based on RxJS streams
Stars: ✭ 20 (-9.09%)
alicemqRabbitMQ Visualizer
Stars: ✭ 102 (+363.64%)
tidytuesday📊 🖌️ Data visualization collection
Stars: ✭ 70 (+218.18%)