通用微信接口,支持pc端微信扫码登录 ,支持微信浏览器点击按钮登录 ,支持获取token,发送邮件,支持接入AI客服, stars:0, update:2024-04-28 01:10:19 (2024-04-28, Python, 0KB, 下载0次)
http://www.pudn.com/Download/item/id/1714268346292791.html
斯堪的纳维亚代币使用者基准
Benchmark for Scandinavian Tokenizers (2024-04-05, Python, 0KB, 下载0次)
播客摘要生成器API
Podcast Summarizer API (2024-04-04, TypeScript, 0KB, 下载0次)
转录、分割和总结播客
Transcribe, segment, and summarize podcasts (2024-02-01, Python, 0KB, 下载0次)
本报告提供了关于播客中的ml实现的详细信息,用于播客摘要、转录、分析、翻译…
This repo gives a detailed information about ml implementations in podcast for podcast summarizer, transcription, analysis , translation … (2024-01-21, Jupyter Notebook, 0KB, 下载0次)
此应用程序帮助您总结播客内容。
This app helps you to summarize a podcast content. (2024-01-14, Python, 0KB, 下载0次)
WikiSummarization(维基摘要)
WikiSummarization (2023-12-15, Python, 0KB, 下载0次)
项目通过URL总结播客,
Project to summarize podcast via urls, (2023-10-12, Python, 0KB, 下载0次)
达维德,,
ldavidrh,, (2023-09-02, Others, 0KB, 下载0次)
Streamlit应用程序,利用OpenAI总结播客,
Streamlit app that utilizes OpenAI to summarize podcasts, (2023-08-18, Jupyter Notebook, 0KB, 下载0次)
LLM应用程序,总结播客插曲,识别播客嘉宾和关键亮点,
LLM app that summarizes a podcast episode, identifies podcast guests and key highlights, (2023-08-18, Python, 0KB, 下载0次)
Streamlit上的播客摘要应用程序,
Podcast Summarizer App on Streamlit, (2023-08-16, Python, 0KB, 下载0次)
播客_摘要,,
podcast_summarization,, (2023-03-24, Jupyter Notebook, 12KB, 下载0次)
LDAvisData(LDA维斯数据),,
LDAvisData,, (2015-02-04, R, 3158KB, 下载0次)
使用主成分分析、LDA的线性特征提取。使用LLE和ISOMAP的非线性降维。天真的贝叶斯类...
Linear Feature Extraction using PCA, LDA. Nonlinear Dimensionality Reduction using LLE and ISOMAP. Naive Bayes classifier, kNN, SVM (2019-10-15, Jupyter Notebook, 789KB, 下载0次)
伊维菌素,,
IvermectinLDA,, (2023-05-23, Jupyter Notebook, 4288KB, 下载0次)
维基lda,,
wiki-lda,, (2017-04-30, Python, 7KB, 下载0次)
用于朴素贝叶斯、主成分分析和一维LDA实现的Python代码
Python code for Naive Bayes, PCA and 1-D LDA Implementation (2017-09-23, Python, 14124KB, 下载0次)
第一個開放的客語斷詞工具
The first open object segmentation tool (2018-06-10, Python, 101KB, 下载0次)
基于 BOW 和 TF-IDF 的简易 QA 匹配模型(智能客服)
A Simple QA Matching Model Based on BOW and TF-IDF (Intelligent Customer Service) (2019-01-23, Python, 1895KB, 下载0次)