🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Sequence Modeling with Structured State Spaces
Grounded Language-Image Pre-training
An Open-Source Package for Knowledge Embedding (KE)
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.