billpku's repositories
NLP_In_Action
Do NLP tasks with some SOTA methods
awesome-bert
bert nlp papers, applications and github resources , BERT 相关论文和 github 项目
awesome-chatgpt-prompts-C-
This repo includes ChatGPT prompt curation to use ChatGPT better.
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
BERT-keras
Keras implementation of BERT with pre-trained weights
bert-toxic-comments-multilabel
Multilabel classification for Toxic comments challenge using Bert
fastai-v3
Starter app for fastai v3 model deployment on Render
chatapi-single-python
Simple and powerful ChatGPT-API-Server, refactor to python
chinese_ulmfit
中文ULMFiT 情感分析 文本分类
ChineseNlpCorpus
搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
data_science_for_all
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据。
GPT3.5-in-Action
Share ideas of applying GPT-3.5 in production
HBRelog
This program is for use with Honorbuddy (an automation tool for World of warcraft). It launches World of Warcraft, logs into the game and then launches Honorbuddy. If Wow or Honorbuddy crashes or disconnects the whole process is repeated.
keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Kerastestcode
my demo testing code for keras
knowledge
Everything I know. My knowledge wiki. My notes (mostly for fast.ai). Document everything. Brain dump.
serverspeeder
Binary Kernels of ServerSpeeder
ServerSpeederCrackScript
A ServerSpeeder Crack Script
Surge_macOS_Rules
Surge3 for macOS 可直接用于家庭网关使用,全能型精细化分流,方便后期测试调整
ThesaurusParser
搜狗、百度、QQ输入法的词库文件的 Java 解析程序
ThesaurusSpider
下载搜狗、百度、QQ输入法的词库文件的 python 爬虫
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.