dowell666's repositories
automatic-personality-prediction
[AAAI 2020] Automatic Personality Prediction in Attention Neural Networks
personality-prediction
Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including, the essays dataset (Big-Five personality labelled traits)
TinyWebServer
:fire: Linux下C++轻量级Web服务器
action-annotation
An annotation tool for action labeling in videos. Best for machine learning/computer vision action recognition research.
decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Face_Recognition_Client
人脸识别客户端
FaceRecognition-tensorflow
基于TensorFlow训练的人脸识别神经网络
First-Impression
Human Personality Traits Recognition from short introduction videos of users from Youtube (ECCV16 Challenge)
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
json-tutorial
从零开始的 JSON 库教程
keras-resnet
Residual networks implementation using Keras-1.0 functional API
models
Models and examples built with TensorFlow
Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Online-Interview-for-Personality-Assessment-
Usage of video, audio and text features to measure personality traits during an asynchronous online interview.
personality-detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Python-100-Days
Python - 100天从新手到大师
Python-Tensorflow-Face-v2.0
基于tensorflow的人脸识别
speech_recognition
Speech recognition module for Python, supporting several engines and APIs, online and offline.
team-learning
Datawhale组队学习计划与课程内容
video-classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Video-Survelliance-System
We prepared a project which aims at ACTION RECOGNITION(mainly Sports Classes). We trained a VGG-16 Neural Network along with LSTM with UCF-101 Dataset having 101 classes. Initially, Dense Optical Flow was applied on the Dataset Videos and then respective MAGNITUDE and ANGLES were fed to the VGG-LSTM Network. After which the predictions of Networks processing angle and magnitudes are fused to get a single output.
weiboanalysis
微博情感分析，文本分类，毕业设计项目