Name: Tai Do
Type: User
Company: Pattern Recognition Lab
Bio: PostDoc at Pattern Recognition Lab
Department of Artificial Intelligent Convergence, Chonnam National University, Gwangju, Korea
Location: Chonnam National University, Gwangju, Korea
Blog: http://dntai.github.io
Tai Do's Projects
PowerPoint plugin for controlling a slideshow using gestures. Optimized for either right or left-handed presenters.
Gesture recognition library for Leap Motion device.
nlp lecture-notes and source code
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
Learn OpenCV : C++ and Python Examples
PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)
Oxford Deep NLP 2017 course
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science UniversitΓ© Paris Saclay
A CoHOG feature detection and classification code (no longer be developed)
Official libmv codebase
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Sentiment Analysis with LSTMs in Tensorflow
List of all the lessons learned, best practices, and links from my time studying machine learning
A C++ wrapper of Qt Charts that looks, tastes and smells like matplotlib but isn't.
A program for Tracking People powered by Kinect
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Mathematics of Deep Learning, Courant Insititute, Spring 19
Solution for MC_OCR competition
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Train and Deploy Machine Learning Model With Web Interface - Docker, PyTorch & Flask
2014 NTU BIME Machine learning course final project.
Python code for Machine Learning course from Coursera
This is the offline fitting portion of my paper: "Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks"