857557236,github

characterrecognition

:ab: Character Recognition with Artificial Neural Network ANN - C# Project

deeplearning-emotion-classifier-withgui

基于深度学习TensorFlow+Keras+pyQT5的实时人脸表情识别项目，使用最新版本的框架编写，可用度高

digit-recognition-app

A handwritten digit recognizer trained on 5000 training examples from the MNIST training set using a Neural Network

digitrecognitions

Simple neural network for recognition of drawn numbers

face-expressions-recognition

A system designed for analyzing facial actions automatically through a human-computer interaction using SKlearn, Python.This system detects the human smile expression.

facial-expression-recognition

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

facial-expression-recognition-using-opencv-

This project is a real time recognition system that traces the very mood of the human. Human expresses their mood and sometimes what they need through their expression

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

In this project facial expression recognition system is implemented using convolution neural network & OpenCV. Facial images are classified into seven facial expression categories namely Anger, Disgust, Fear, Happy, Sad, Surprise and Neutral.

facial_expression_recognition_fer2013

Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .

facialexpressionrecognition

人脸识别之表情识别项目相关源码

handgeasture-recognition

Based on image Processing which is used to recognize the hand gestures

handwriting-recognition

handwriting recognition project by using c# in visual studio 2012 that use in desktop version

handwritingrecognition

Using the MNIST Database to train a neural network.

handwritten-digits-recognition

An application on Neural Networks to recognize handwritten digits based on multilayer Back-Propagation training.

hopfield-artificial-neural-networks

Character recognition with Hopfield Artificial Neural Networks (https://en.wikipedia.org/wiki/Hopfield_network). Developed as Windows desktop app with Winforms framework.

idcardveridemo_cpp

虹软人证SDK示例Demo，使用QT5.8.2

keras-to-csharp

A base class library of keras based on CSharp is used to call. H5 simple deep learning model without any other environment.

knn-digit-recognition

A digit recognition c# application using K-nearest neighbour algorithm and the mindst dataset.

letter-and-face-recognition

using Naive Bayes Classification I built an application that can with 80-90% accurate correctly identify letters and faces. The more training data you give the app, the greater the accuracy

letter-recognition

C# Form App for Digital Letter Recognition, using Neuron Network

machinelearning

Basic Machine Learning and Deep Learning

mifs

Parallelized Mutual Information based Feature Selection module.

miniseg

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

mnist-cnn

Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.

neural-network-csharp

Basic implementation of a Neural Network and trainer for Xor and MNIST digit recognition in C#

neural-network-for-handwritten-recognition-hwr

Recognition for hand written Numbers from 0 to 9 using neural networks (multi layer perceptron Model) and Principle component analysis (PCA) for Data-set dimensionality reduction.

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