yanyuefan Goto Github PK
Name: yanyuefan
Type: User
Bio: NLP beginner
Name: yanyuefan
Type: User
Bio: NLP beginner
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf
This repo includes ChatGPT prompt curation to use ChatGPT better.
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
一个pytorch 相关代码库列表,包含模型、实现、工具、教程等
使用Bert,ERNIE,进行中文文本分类
Bilibili直播弹幕库 for Mac / Windows / Linux
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Code for "Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization" (ICASSP 2021)
Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"
提供计算机考研和软件工程考研专业的各个学校 考研真题
daily_fudan的运行器,自动定时执行https://github.com/Limour-dev/daily_fudan_core 的代码。请按daily_fudan_core的readme正确配置FUDAN,按本仓库的readme正确配置GH_PAT。两个secrets都在本仓库配置,注意不要配置到core仓库。
"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Few-shot NLP benchmark for unified, rigorous eval
:books: 极客时间电子书
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
常见的机器学习参考资料,包括书籍、公开课等
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
NLP上手教程
学习NLP中总结的一些基础知识
notes on python and pytorch learning
论文复现《Named Entity Recognition as Dependency Parsing》
Roadmap of DL and ML, some courses, study notes and paper summary
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.