GitHub - facebookresearch/mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. See full list of project inside or built on MMF here. MMF is powered by PyTorch, allows distributed training and is un-opinionated, scalable and fas
Remix開発完全入門ï¼ç¾å ´ã§æ´»èºã§ãるレベルã«åˆ°é”ã™ã‚‹ãŸã‚ã®ç·åˆã‚¬ã‚¤ãƒ‰
Remix開発完全入門ï¼ç¾å ´ã§æ´»èºã§ãるレベルã«åˆ°é”ã™ã‚‹ãŸã‚ã®ç·åˆã‚¬ã‚¤ãƒ‰ ã¯ã˜ã‚ã« è¿‘å¹´ã€Web開発ã®ä¸–ç•Œã¯æ€¥é€Ÿã«é€²åŒ–ã—ã¦ãŠã‚Šã€ã•ã¾ã–ã¾ãªãƒ•ãƒ¬ãƒ¼ãƒ ワークやライブラリãŒç™»å ´ã—ã¦ã„ã¾ã™ã€‚ãã®ä¸ã§ã‚‚ã€Remixã¯ç‰¹ã«æ³¨ç›®ã‚’集ã‚ã¦ã„るフレームワークã®ä¸€ã¤ã§ã™ã€‚Remixã¯ã€Reactをベースã«ã—ãŸãƒ•ãƒ«ã‚¹ã‚¿ãƒƒã‚¯ã®Webアプリケーションフレームワークã§ã‚ã‚Šã€é–‹ç™ºè€…ã«ã¨ã£ã¦åŠ¹çŽ‡çš„ã§ãƒ‘フォーマンスã®é«˜ã„アプリケーションを構築ã™ã‚‹ãŸã‚ã®å¼·åŠ›ãªãƒ„ールã§ã™ã€‚ 本記事ã§ã¯ã€Remixã®åŸºæœ¬ã‹ã‚‰å¿œç”¨ã¾ã§ã‚’網羅ã—ã€ç¾å ´ã§æ´»èºã§ãるレベルã«åˆ°é”ã™ã‚‹ãŸã‚ã®ç·åˆã‚¬ã‚¤ãƒ‰ã‚’æä¾›ã—ã¾ã™ã€‚具体的ã«ã¯ã€Remixã®ç‰¹å¾´ã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ã€åŸºæœ¬çš„ãªä½¿ã„æ–¹ã€ãƒ«ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã€ãƒ‡ãƒ¼ã‚¿ãƒ•ã‚§ãƒƒãƒãƒ³ã‚°ã€ã‚¹ã‚¿ã‚¤ãƒªãƒ³ã‚°ã€ãƒ‡ãƒ—ãƒã‚¤æ–¹æ³•ã€ãã—ã¦å®Ÿè·µçš„ãªãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ä¾‹ã‚’通ã˜ã¦ã€Remixã®é…力を深ãç†è§£ã—ã¦ã„ãã¾ã™ã€‚ Remixã®å…¨ä½“åƒ ä»¥ä¸‹ã®ãƒ€ã‚¤ã‚¢ã‚°ãƒ©ãƒ
Gradio
Fast, easy setup Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. Seamlessly use any python library on your computer. If you can write a python function, gradio can run it. Present and share Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you c
NIST サイãƒãƒ¼ã‚»ã‚ュリティフレームワーク 2.0を解説｜約10å¹´ã¶ã‚Šã®å¤§å¹…改訂ã€æŠ¼ã•ãˆã‚‹ã¹ãè¦ç‚¹ã¨ã¯ï¼Ÿ
2024å¹´2月26æ—¥ã€NISTï¼ˆç±³å›½ç«‹æ¨™æº–æŠ€è¡“ç ”ç©¶æ‰€ï¼‰ã¯ã€ã€ŒNIST サイãƒãƒ¼ã‚»ã‚ュリティフレームワーク（NIST Cybersecurity Framework：NIST CSF）ã€ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³2.0ã‚’æ£å¼ã«å…¬é–‹ã—ãŸã€‚2014å¹´4月ã«åˆç‰ˆã§ã‚ã‚‹NIST CSF 1.0ãŒå…¬è¡¨ã•ã‚Œã¦ä»¥æ¥ã€ç´„10å¹´ã¶ã‚Šã®å¤§å¹…改訂ã§ã‚る。 本記事ã§ã¯ã€NIST CSF 2.0ã«ãŠã‘る主ãªæ”¹è¨‚ã®ãƒã‚¤ãƒ³ãƒˆã¨ã€ç‰¹ã«ã‚¤ãƒ³ãƒ‘クトã®å¤§ãã„6ã¤ç›®ã®æ–°æ©Ÿèƒ½ã€ŒGV（統治）ã€ã«ã¤ã„ã¦è§£èª¬ã™ã‚‹ã€‚ ã¯ã˜ã‚ã« 2020年代ã«å…¥ã‚Šã€æ–°ãŸãªç”Ÿæ´»æ§˜å¼ã®å¤‰åŒ–ã«èµ·å› ã™ã‚‹è„…å¨ã®ç™ºç”Ÿã€ä¸–ç•Œå„国ã§ã®æ·±åˆ»ã‹ã¤å¤§è¦æ¨¡ãªã‚µã‚¤ãƒãƒ¼æ”»æ’ƒã®æ€¥å¢—ã€ç”ŸæˆAIãªã©æ–°æŠ€è¡“ã®æ™®åŠã«ä¼´ã†ãƒªã‚¹ã‚¯å¢—åŠ ãªã©ã€ã‚»ã‚ュリティ脅å¨ãŒå¤šæ§˜åŒ–・複雑化ã—ã¦ã„る。ãã®ã‚ˆã†ãªçŠ¶æ³ã«åˆã‚ã›ã¦ã€å„国ã§ã‚µã‚¤ãƒãƒ¼ã‚»ã‚ュリティã«é–¢ã™ã‚‹æ³•è¦åˆ¶ãƒ»å·ä»¤ã®ç™ºå‡ºã€ã‚¬ã‚¤ãƒ‰ãƒ©ã‚¤ãƒ³ãªã©ãŒæ•´å‚™ã•ã‚Œã¦ããŸã€‚ ç›´è¿‘10å¹´é–“ã®è„…å¨
OpenAPI.Tools - an Open Source list of great tools for OpenAPI.
OpenAPI.Tools Stay up to date with a community-driven list of high-quality, modern tools for OpenAPI. An open source project from APIs You Won't Hate. Is there a tool missing that you think should be on the list? Submit a Pull Request on GitHub apisyouwonthate/openapi.tools Submit an OpenAPI tool Sponsored by Zudoku - Open-source, OpenAPI powered, highly customizable API documentation. Tool Types
GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predictions for text classifiers or classifiers that act on tables (numpy arrays of numerical or categorical data) or images, with a package called lime (short for local interpretable model-agnostic explanations). Lime is based on the work presented in this pape
FinGPT：金èžæ¥ç•Œã®ãŸã‚ã®å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«é–‹ç™ºãƒ•ãƒ¬ãƒ¼ãƒ ワーク | AIDB
金èžæ¥ç•Œã¯ã€AIã®æ´»ç”¨ãŒæ±‚ã‚られる一方ã§ã€ãã®è¤‡é›‘ã•ã¨å°‚門性ã‹ã‚‰å¤šãã®èª²é¡ŒãŒã‚ã‚Šã¾ã—ãŸã€‚ã—ã‹ã—ã€ã‚³ãƒãƒ³ãƒ“ア大å¦ã¨ãƒ‹ãƒ¥ãƒ¼ãƒ¨ãƒ¼ã‚¯å¤§å¦ã®ç ”究者らãŒé–‹ç™ºã—ãŸæ–°ãƒ•ãƒ¬ãƒ¼ãƒ ワーク「FinGPTã€ãŒã€ãã®èª²é¡Œã‚’解決ã™ã‚‹å¯èƒ½æ€§ã‚’秘ã‚ã¦ã„ã¾ã™ã€‚FinGPTã¯ã€èª°ã§ã‚‚金èžåˆ†é‡Žç‰¹åŒ–ã®å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«ã‚’開発ã™ã‚‹ã“ã¨ã‚’å¯èƒ½ã«ã—ã€é‡‘èžæ¥ç•Œã®AI開発を一æ©å‰é€²ã•ã›ã‚‹ã“ã¨ã‚’目指ã—ã¦ã„ã¾ã™ã€‚ å‚ç…§è«–æ–‡æƒ…å ± タイトル：FinGPT: Open-Source Financial Large Language Models 著者：Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang URL：https://doi.org/10.48550/arXiv.2306.06031 GitHub：https://github.com/AI4Finance-Foundation/FinGPT，htt
Playwright
Playwright enables reliable end-to-end testing for modern web apps. Cross-browser. Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Cross-platform. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Cross-language. Use the Playwright API in TypeScript, JavaScript, Python, .NET, Java. Test Mobile Web. Native mobile emulation of Google C
Why Libraries are better than Frameworks – Tom Lokhorst's blog
TLDR; Use lazy evaluation to prevent high coupling. There are two ways to design an application: based a particular framework, or using libraries. Actually, there are a lot more ways to build applications, including combinations of the two, but let’s just focus on those. First, let’s define the word “frameworkâ€. I want to set it apart from what’s known as a platform. A platform is some lowest leve
Library patterns: Why frameworks are evil
TP Library patterns Why frameworks are evil This article is a follow up to my previous blog post about functional library design, but you do not need to read the previous one, because I'll focus on a different topic. In the previous article, I wrote about a couple of principles that I find useful when designing libraries in a functional style. This follows from my experience with building F# libra
人間ã®ãŸã‚ã®ã‚¤ã‚±ã¦ã‚‹Python WebFramework「responderã€ã€ãã—ã¦ä½œè€…ã®Kenneth Reitzã«ã¤ã„㦠- フリーランãƒé£Ÿã¹ãŸã„
ã“ã®è¨˜äº‹ã¯ Python ãã®2 Advent Calendar 2018 - Qiita ã®1日目ã§ã™ã€‚ responderã¨ã¯ GitHub - kennethreitz/responder: a familiar HTTP Service Framework for Python 2018å¹´10月ã«å…¬é–‹ã•ã‚ŒãŸ イケã¦ã‚‹Python WebFramework ã§ã™ã€‚ requestsã‚„pipenvãªã©ã®é–‹ç™ºè€…ã§ã‚ã‚‹ Kenneth Reitz ãŒ(ãŠãらã)今年ã®Hacktoberfest 2018 - DigitalOcean 用ã«é–‹ç™ºã—ãŸã‚‚ã®ã ã¨æ€ã‚ã‚Œã¾ã™ã€‚ GitHubã®ã‚¿ã‚°ã‚’見るã¨(Topic: hacktoberfest2018 · GitHub )ã€hacktoberfestã§2ä½ ä»Šå¹´10月ã«å…¬é–‹ã•ã‚ŒãŸã®ã«é–¢ã‚らãšæ—¢ã«StarãŒ2000以上付ã„ã¦ãŠã‚Šã€ã‹ãªã‚Šå‹¢ã„ãŒã‚ã‚Šã¾ã™
GitHub - flairNLP/flair: A very simple framework for state-of-the-art Natural Language Processing (NLP)
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. Flair is: A powerful NLP library. Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), special support for biomedical texts, sense disambiguation and class
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Quart documentation — Quart 0.19.5 documentation
GitHub - microsoft/pict: Pairwise Independent Combinatorial Tool
JAXenter - Java Development & Software Architecture
Dirty Data — Quality Assessment & Cleaning Measures - DataScienceCentral.com
Library vs. Framework? – Program Creek
Libraries vs. Frameworks — What’s the Difference?
Software Framework vs Library - GeeksforGeeks
Django vs. Flask in 2024: Which Framework to Choose
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