NatsumeYui's starred repositories
Ranger-Mish-ImageWoof-5
Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs
Emotion-Recognition-on-live-cam-and-static-imgs-with-DeXpression-and-miniXception-CNNs-and-ML-algos
Emotion Recognition from live webcam and static images with DeXpression, miniXception, a CNN made from scratch, and other ML algorithms. All algorithms are trained and tested on Fer2013 dataset
Emotion_Classification
Emotion classification using DCNN and Mini_XCEPTION-- acc: 80%
Facial-Expression-Prediction
Facial Expression Prediction with Deep Learning
Face-Recognition-Model-with-Gender-Age-and-Emotions-Estimations
Capstone Project by Bertrand Lee and Riley Kwok
Face-Recognition-Model-with-Gender-Age-and-Emotions-Estimations
Face-Recognition-Model-with-Gender-Age-and-Emotions-Estimations
ExpressionRecognition
表情识别问题 深度学习 正确率：72% https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
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
face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
my_fer2013_model
自己调的网络
Emotion-Detection
Detecting emotions of a person in real-time using deep learning. This project was made using Tensorflow and OpenCV.
weiboSpider
新浪微博爬虫，用python爬取新浪微博数据
Product-Notes
:books: 产品迷思，不仅仅是产品经理，对于产品设计、交互体验、项目管理、行业视点等多方面的思考。
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
Facial-Expression-Recognition-
Using the FER2013 dataset of facial expressions with the following categories: {0:'Angry', 1:'Disgust', 2:'Fear', 3:'Happy', 4:'Sad', 5:'Surprise', 6:'Neutral'} Train a CNN model on the dataset then further use the transfer learning model with VGG19 as a base and train that as well on the dataset Save the models and then predict using a test image on both models to see which is better suited for the task.
image_class
基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
tensorflow-vgg
VGG19 and VGG16 on Tensorflow
Neural-Style-Transfer
神经风格迁移——基于keras实现（VGG19）2019-2-23
deep-learning-models
Keras code and weights files for popular deep learning models.
cifar-10-cnn
Play deep learning with CIFAR datasets
tensorflow
An Open Source Machine Learning Framework for Everyone