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asp

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-pytorch-list-cn

一个pytorch 相关代码库列表，包含模型、实现、工具、教程等

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bilibili-live-helper

Bilibili直播弹幕库 for Mac / Windows / Linux

chatgpt_for_ie

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

clim

Code for "Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization" (ICASSP 2021)

container

Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"

cs224n-learning-camp

cskaoyan

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_actions

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。

dataset_difficulty

"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)

evaluation-of-chatgpt-on-information-extraction

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).

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

few-nerd

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

flex

Few-shot NLP benchmark for unified, rigorous eval

leetcode

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.

machine-learning-reference

常见的机器学习参考资料，包括书籍、公开课等

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

nlp-beginner

NLP上手教程

notes-for-nlp-basics

学习NLP中总结的一些基础知识

notes_for_code_learning

notes on python and pytorch learning

otherclassner

pytorch_bert_biaffine_ner

论文复现《Named Entity Recognition as Dependency Parsing》

rgat-absa

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary

shadowsocks-rss

ShadowsocksR update rss, SSR organization https://github.com/shadowsocksr