Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss
NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Efficient few-shot learning with Sentence Transformers
The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.
Label-Representative Graph Convolutional Network for Multi-Label Text Classification
Generative Model for Event Detection
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"
Implementation of the research paper Consistent Representation Learning for Continual Relation Extraction (Findings of ACL 2022)
Practical multithreading tutorials for dummies. Languages supported: C++, Java, C#, Python.
POT : Python Optimal Transport
Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks
Code for paper "Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph", EMNLP 2021 - findings.
A collection of useful .gitignore templates
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Code for our EMNLP 2021 paper “Heterogeneous Graph Neural Networks for Keyphrase Generation”
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Evolution Algorithms Course - IT4906
This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.
Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.
Unofficial PyTorch implementation of "Meta Pseudo Labels"
Showcasing various NLP Downstream tasks Training with pre-trained Language models using Pytorch Lightning