Pinned Repositories
bookshelf
:books: books
Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for simulating the cognitive brains of different animal species at multiple scales and realizing brain-inspired Artificial Intelligence. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living machines in future human-machine society.
cn2an-LacTransform
基于cn2an包与LAC分词创建的智能化中文与阿拉伯数字相互替换的软件包
literature-books
书籍txt
Multivariate_Shapley_Interactions
Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021)
SimCSE
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
StanceClassification
Stance classification from CreateDebate dataset
yuwangyang0225's Repositories
yuwangyang0225/bookshelf
:books: books
yuwangyang0225/Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for simulating the cognitive brains of different animal species at multiple scales and realizing brain-inspired Artificial Intelligence. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living machines in future human-machine society.
yuwangyang0225/cn2an-LacTransform
基于cn2an包与LAC分词创建的智能化中文与阿拉伯数字相互替换的软件包
yuwangyang0225/literature-books
书籍txt
yuwangyang0225/Multivariate_Shapley_Interactions
Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021)
yuwangyang0225/SimCSE
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
yuwangyang0225/StanceClassification
Stance classification from CreateDebate dataset