188 Open source projects that are alternatives of or similar to DiagnoseRE

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

A programmable relation extraction tool

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

This is a collection of algorithms and approaches used in the book adversarial deep learning

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

This is a collection of papers and other resources related to fairness.

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Code for NeurIPS 2019 Paper

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

A curated (most recent) list of resources for Learning with Noisy Labels

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

PyTorch code for SpERT: Span-based Entity and Relation Transformer

Relation Classification - SEMEVAL 2010 task 8 dataset

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

A collection of inspiring resources related to engineering management and tech leadership

Source code and dataset of EMNLP2017 paper "Incorporating Relation Paths in Neural Relation Extraction".

Identify bias and measure fairness of your data

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

ML/DL/RL paper notes

code of Relation Classification via Multi-Level Attention CNNs

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Joint Neural Relation Extraction with Text and KGs

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

Federated Knowledge Extraction Framework

📊 Tools to Perform ‘Misinformation’ Analysis on a Text Corpus (wrapper for methods in https://github.com/PDXBek/Misinformation)

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Reachability analysis for closed-loop control systems

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Attacking Optical Flow (ICCV 2019)

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Robust error-handling for Kotlin and Android

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.