Popular GitHub Repositories for Srl Ae

基于Pytorch和torchtext的自然语言处理深度学习框架。

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

基于Pytorch和torchtext的知识图谱深度学习框架。

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Pytorch implementation of BERT4Rec and Netflix VAE.

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Semantics-aware BERT for Language Understanding (AAAI 2020)

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统

Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.

Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)

SRL deep learning model is based on DB-LSTM which is described in this paper : [End-to-end learning of semantic role labeling using recurrent neural networks](http://www.aclweb.org/anthology/P15-1109)