JackKuo666's repositories
jackkuo666.github.io
这是我的github所有项目的的总介绍
AllenNLP_notes
这是我学习AllenNLP的笔记
learn_allennlp_get_start
an moive review classification examples with cnn and bert model, use python scripts train, eval and prdict, also use `Allennlp train`cmd to train, eval and predit.
Chinese-word-cloud
vue+elementUI前端+flask后端=中文词云生成器web页面
label_data_augmentation_use_faiss
利用faiss索引、chinese simbert向量化的最近邻的中文label数据增强
xunfei_paper_classification_competition
这个是我参加科大讯飞[学术论文分类挑战赛](https://challenge.xfyun.cn/topic/info?type=academic-paper-classification )个人参赛记录
bert4keras_nezha_chinese_train
使用bert4keras训练nezha_chinese
learn_SpringMVC_s05_BookManager
a java web mini project, use SSM: Spring+SpringMVC+Mybatis
tianchi_news_classification_competition
# 这个是[阿里云新闻分类大赛](https://tianchi.aliyun.com/competition/entrance/531810/introduction) 的参赛记录
train_bert_from_egg_with_tensorflow
train_bert_from_egg_with_tensorflow 这里是从头训练bert模型的tensorflow2.5版本
xunfei_chinese_question_similarity_competition
这个是我参加科大讯飞[中文问题相似度挑战赛](https://challenge.xfyun.cn/topic/info?type=chinese-question-similarity )个人参赛记录
allennlp-guide
Code and material for the AllenNLP Guide
allennlp-template-config-files
A template for starting a new allennlp project using config files and `allennlp train`
CDial-GPT-NEZHA
pytorch版基于gpt+nezha的中文多轮Cdial
Day_Day_Up
good good study day day up
figure-out
https://figureout.club/
grobid
A machine learning software for extracting information from scholarly documents
learn_spring_s01-s03
learn_spring_s01-s03
learn_SpringBoot_s06_Web
a SpringBoot web mini project, use: Spring+SpringBoot+SpringMVC+SpringSecurity+CSRF+Slf4j+多环境配置+打包运行
learn_SpringBoot_s07_Redis
a mini Redis tutorial, use: Spring+SpringBoot+SpringSecurity+Mybatis+Redis
learn_springmvc_s04_hello_word
a java web mini project, use: Spring+SpringMVC+SpringSecurity+CSRF
List-of-books
vue3+elementUI前端+django3后端=前后端分离的书籍列表web页面
LongBench
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
scihub
PDF Downloader with SCI-HUB
sheep
羊了个羊在线版
SLMP_demo
This is the demo video of paper 《基于大模型的科学文献管理平台》
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.