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Name: Eric
Type: User
Bio: NLP
Location: earth
Name: Eric
Type: User
Bio: NLP
Location: earth
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
AbstractKnowledgeGraph, a systematic knowledge graph that concentrate on abstract thing including abstract entity and action. 抽象知识图谱,目前规模50万,支持名词性实体、状态性描述、事件性动作进行抽象。目标于抽象知识,包括抽象实体,抽象动作,抽象事件。基于该知识图谱,可以进行不同层级的实体抽象和动作抽象,这与人类真实高度概括的认知是一致的。
ACE 2005 corpus preprocessing for Event Extraction task
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Interpretability and explainability of data and machine learning models
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
基于竞赛的各种尝试,都放在这里
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
The Easiest Knowledge Distillation Library for Lightweight Deep Learning
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder
WAIC AutoNlp
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集,以及中文预训练模型、词向量、实体识别综述等。
A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习:论文/代码/框架/库
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Awesome-LLM: a curated list of Large Language Model
Awesome papers about unifying LLMs and KGs
Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas
A curated list of the papers, repositories, tutorials, and anythings related to the large language models for tools
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.