Topic: summary Goto Github
Some thing interesting about summary
Some thing interesting about summary
summary,:books: 计算机视觉笔记和总结
User: acecoooool
summary,Summaries of machine learning papers
User: aleju
summary,Website based application that summarizes Plex statistics from a given period and displays it in a nice format. Similar to the Spotify Wrapped concept.
User: aunefyren
summary,船长关于机器学习、计算机视觉和工程技术的总结和分享
User: captain1986
summary,A playwright test reporter (Node.js)
User: cenfun
Home Page: https://cenfun.github.io/monocart-reporter/
summary,LexRank algorithm for text summarization
Organization: crabcamp
summary,🚴 iOS Interviews, Dev Notes && Git ...
User: devdragonli
summary,A command-line utility to print the summary of the terraform plan
User: dineshba
summary,A collection of session summaries in markdown format, from WWDC 20, 19 & 17
User: erenkabakci
Home Page: https://erenkabakci.github.io/WWDC-Recap/
summary,Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
User: frgfm
Home Page: https://frgfm.github.io/torch-scan/latest
summary,A webapp to take notes during class.
User: fujiwarachoki
summary,阅读过的推荐系统论文的归类总结,持续更新中…
User: fuxuemingzhu
summary,All Model summary in PyTorch similar to `model.summary()` in Keras
User: graykode
Home Page: https://www.reddit.com/r/MachineLearning/comments/ax83h7/p_modelsummary_pip_project_in_pytorch/
summary,Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
User: guolanqing
summary,The PyTorch Implementation of SummaRuNNer
User: hpzhao
Home Page: https://arxiv.org/pdf/1611.04230.pdf
summary,A command line tool to generate a summary.md for Gitbook
User: imfly
summary,IssuesにNLP(自然言語処理)に関連するの論文を読んだまとめを書いています.雑です.🚧 マークは編集中の論文です(事実上放置のものも多いです).🍡 マークは概要のみ書いてます(早く見れる的な意味で団子).
User: jojonki
Home Page: https://github.com/jojonki/arXivNotes/issues
summary,:wave: ML/DL学习笔记(基础+论文)
User: lartpang
summary,🔎 Meeting recorder and summarizer
User: latentdream
Home Page: https://www.guillaume.sh/watson
summary,Uses frequency analysis to summarize text.
User: lazocoder
summary,Notes for Deep Learning Specialization Courses led by Andrew Ng.
User: lijqhs
Home Page: https://lijqhs.github.io/deeplearning-notes/
summary,Collection of popular and reproducible video denoising works.
Organization: liv-group
summary,博客构建档(HTML & Markdown)
User: lruihao
Home Page: https://lruihao.cn
summary,Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
User: mbreuss
summary,Module for automatic summarization of text documents and HTML pages.
User: miso-belica
Home Page: https://miso-belica.github.io/sumy/
summary,Literally Better YouTube Summary 🎯
User: mthli
Home Page: https://chromewebstore.google.com/detail/better-youtube-summary/gobfmldfaojjoanejhccieilnmglclba
summary,All ARM assembly commands on one pdf page
User: oowekyala
summary,토비의 스프링 3.1 서적과 백기선님의 강좌를 토대로 스프링의 핵심 기술을 정리했습니다.
User: pjok1122
summary,CLI & Python API to easily summarize text-based files with transformers
User: pszemraj
summary,开源、简洁、可自部署的RSS翻译器 | Translate RSS feeds into your language!
Organization: rss-translator
Home Page: https://RssTranslator.com
summary,📚 책을 읽고 정리합니다. 📖 Summary of Books / 기술 서적 정리 모음
User: saseungmin
Home Page: https://saseungmin.github.io/summary_of_technical_books/
summary,📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
User: shunk031
Home Page: https://shunk031.github.io/paper-survey/
summary,Model summary in PyTorch similar to `model.summary()` in Keras
User: sksq96
summary,Customizable JavaScript library to create interactive survey data dashboards and facilitate survey results analysis for your end-users.
Organization: surveyjs
Home Page: https://surveyjs.io/dashboard/examples/plain-data
summary,This is a repository for summarizing papers especially related to machine learning.
User: swall0w
summary,📘 Woowahan Tech Learning React&Typescript Summary ⚛
Organization: textuel
summary,Automagically generates summaries from html or text.
User: transitive-bullshit
summary,☁️ AWS summary in bullet points
User: undergroundwires
Home Page: https://cloudarchitecture.io/aws/
summary,☁️ Azure summary in bullet points
User: undergroundwires
Home Page: https://cloudarchitecture.io/azure
summary,텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.
User: uoneway
summary,一个通过 OpenAI 来对b站视频进行总结的多功能 B站解析插件
User: well2333
summary,Collection of popular and reproducible image denoising works.
User: wenbihan
summary,🔨 Open source WEB editor summary
User: xjh22222228
summary,「一叶知秋」集散地,主要是我的一些阅读、学习、社交、研究、思考、放松娱乐记录整理。
User: yangwenmai
Home Page: https://discovery.zhubai.love/
summary,:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.
User: yassouali
summary,paper summary of Association for Computational Linguistics
User: ymym3412
summary,安卓开发总结——附带VPN翻墙
User: zscdumin
Home Page: https://github.com/ZSCDumin/AndroidDevelopmentSummary
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.