mark-xhchen

RAN

RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23

AGN

Official Code for Merging Statistical Feature via Adaptive Gate for Improved Text Classification (AAAI2021)

LS-LLaMA

A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

SemEval-Triplet-data

Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

Conditional-ECPE

Repo for 2020 EMNLP paper "Conditional Causal Relationships between Emotions and Causes in Texts"

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

bert4keras

keras implement of transformers for humans

transformers

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

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

IE-CNN

IE-CNN model for ECPE task - COLING 2020 Paper

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

keras-applications

Reference implementations of popular deep learning models.

classification_models

Classification models trained on ImageNet. Keras.

bddoia_project

ECPE

QuatE

Pytorch implementation of Quaternion Knowledge Graph Embeddings.

Relation-Extraction

Experiments for new relation extraction algorithms

CausE

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

CausalityEventExtraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目，本项目罗列了因果显式表达的几种模式，基于这种模式和大规模语料，再经过融合等操作，可形成因果事件图谱。

awesome-causality-algorithms

An index of algorithms for learning causality with data

causality

Tools for causal analysis

Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

CEVAE

Causal Effect Inference with Deep Latent-Variable Models

TADW

Network Representation Learning with Rich Text Information (IJCAI 2015)