Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)

Generate embeddings from large-scale graph-structured data.

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

Implementation for Paper "Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction"

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Source code for "Packed Levitated Marker for Entity and Relation Extraction"

[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

Reading list for research topics in multimodal machine learning

awesome grounding: A curated list of research papers in visual grounding

Code for ACM MM 2021 Paper "Multimodal Relation Extraction with Efficient Graph Alignment".

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A Few-Shot Learning based Approach to Multimodal Social Relation Extraction

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

General Multi-label Image Classification with Transformers

A faster pytorch implementation of faster r-cnn

A paper list of object detection using deep learning.

implement the mainstream object detection models

Faster RCNN with PyTorch

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

An Open-Source Package for Neural Relation Extraction (NRE)

UC Berkeley's Database class CS186: Implement A Simple Database Management System