Natural Language Processing Tutorial for Deep Learning Researchers
A repository of resources for understanding the concepts of machine learning/deep learning.
Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
A deep learning library for video understanding research.
Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
JittorVis - Visual understanding of deep learning models
In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.
Action tracking and understanding in basketball games using computer vision approaches and ideas alongside deep learning.