基于pytorch的bert_bilstm_crf中文命名实体识别

📖 北京理工大学非官方 LaTeX 模板集合，包含本科、研究生毕业设计模板及更多。🎉 （更多文档请访问 wiki 和 release 中的手册）

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A headless login / logout script for 10.0.0.55 at BIT. 北京理工大学 10.0.0.55 校园网登录登出的 Python 实现

Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Inference code for Llama models

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

NLP新手入门教程

a knowledge graph project for ONEPIECE /《海贼王》知识图谱

计算机学报 LaTeX 模板

实验报告模板

This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".

Latex双栏中文模板，修改自ACL会议模板

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

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Must-read papers on Fine-grained Entity Typing

Implementation of Nested Named Entity Recognition using BERT

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

Codes for the paper Bipartite Flat-Graph Network for Nested Named Entity Recognition

Code for "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021.

Official implementation of "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path" (ACL'21)

Code for paper "Merge and Label: A Novel Neural Network Architecture for Nested NER", ACL 2019

[copy of http://nlp.cs.nyu.edu/evalb/] This is a bracket scoring program. It reports precision, recall, F-measure, non crossing and tagging accuracy for given data.

The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

Source code for "N-ary Constituent Tree Parsing with Recursive Semi-Markov Model" published at ACL 2021

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.