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Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK
Decision Decoding Toolbox
Code developed for my Master thesis on multimodal Deception Detection in Videos (DDV)
Methods for video, inertial and multimodal activity recognition
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Detecting and classifying depression from motor activity data using Deep Learning
A research project of applying deep learning models and data fusion algorithms on Human Activity Recognition(HAR)/Activities of Daily Living(ADL) datasets.
Introduction to Deep Neural Networks with Keras and Tensorflow
A 2.5 hour long hands-on workshop on Deep Learning organized at UMSL
Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Deep Learning systems for training and testing disfluency detection and related tasks on speech data.
A paper list of object detection using deep learning.
Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Automated classifier that identifies symptoms of depression in clinical interview transcripts that was built as part of my honours thesis.
Using deep learning to detect Atrial fibrillation
Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
Course Projects for the Coursera DeepLearning.AI Concentration
Demo of running NNs across different frameworks
Banchmark for personality traits prediction with neural networks
Resource Management with Deep Reinforcement Learning (HotNets '16)
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Tutorial and wrapper for automatic speech to text using deepspeech
top 1% solution to toxic comment classification challenge on Kaggle.
Code for my masters thesis
Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.