⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)

计算机保研简历与文书实用模板

NAT implementation(Neighborhood Attention Transformer) This is an unofficial implementation. https://arxiv.org/pdf/2204.07143.pdf

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

Python wrapper for Stanford CoreNLP.

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

关系抽取个人实战总结以及开源工具包使用

DeepIE: Deep Learning for Information Extraction

NLP关系抽取：序列标注、层叠式指针网络、Multi-head Selection、Deep Biaffine Attention

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Machine Reading Comprehension (MRC)

keras implement of dgcnn for reading comprehension

pytorch版unilm模型

Fine-tuning GPT-2 Small for Question Answering

Matplotlib styles for scientific plotting

端到端的长本文摘要模型（法研杯2020司法摘要赛道）

A PyTorch-based toolkit for natural language processing

Bert for CoQA based on PyTorch.

ALBERT model Pretraining and Fine Tuning using TF2.0

This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

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