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  • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

    Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in

      GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
    • 100+ Best GitHub Repositories For Machine Learning

      There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper

        100+ Best GitHub Repositories For Machine Learning
      • A Second Conversation with Werner Vogels – Communications of the ACM

        CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va

        • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

          AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b

            Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
          • II. From AGI to Superintelligence: the Intelligence Explosion - SITUATIONAL AWARENESS

            AI progress won’t stop at human-level. Hundreds of millions of AGIs could automate AI research, compressing a decade of algorithmic progress (5+ OOMs) into ≤1 year. We would rapidly go from human-level to vastly superhuman AI systems. The power—and the peril—of superintelligence would be dramatic. Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual act

              II. From AGI to Superintelligence: the Intelligence Explosion - SITUATIONAL AWARENESS
            • Annotated history of modern AI and deep neural networks

              For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win

                Annotated history of modern AI and deep neural networks
              • Digital, digital and digital

                戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney

                  Digital, digital and digital
                • Fugu-MT: arxivの論文翻訳(概要)

                  このサイトではarxivで発表された論文のメタデータを翻訳しています。(arxivのメタデータは CC 0です) このページではメタデータの要約を表示しています。日付別の要約一覧から 日付別の要約を参照できます。表示をカスタマイズからスコアでのソートや検索が可能です。 要約前のデータは翻訳状況、 日付別の論文一覧から参照できます。 翻訳文のライセンスはCC BY-SA 4.0です。 翻訳にはFugu-Machine Translatorを利用しています。 本サイトの運営者(Satoshi Takahashi)は本サイト(すべての情報・翻訳含む)の品質を保証せず、本サイト(すべての情報・翻訳含む)を使用して発生したあらゆる結果について一切の責任を負いません。 論文検索: 技術的な詳細は開発者のBlogで紹介します。 公開日: 20250903 の論文要約A theoretical frame

                  • GitHub - hanjuku-kaso/awesome-offline-rl: An index of algorithms for offline reinforcement learning (offline-rl)

                    Value-Aided Conditional Supervised Learning for Offline RL Jeonghye Kim, Suyoung Lee, Woojun Kim, and Youngchul Sung. arXiv, 2024. Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, and Pheng-Ann Heng. arXiv, 2024. DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Traj

                      GitHub - hanjuku-kaso/awesome-offline-rl: An index of algorithms for offline reinforcement learning (offline-rl)
                    • GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API

                      awesome-chatgpt-api - Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota. awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better. awesome-chatgpt - Curated list of awesome tools, demos, docs for ChatGPT and GPT-3 awesome-totally-open-chat

                        GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API
                      • A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

                        111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen

                        • Track Awesome List Updates Daily

                          Track Awesome List Updates DailyWe track over 500 awesome list updates, and you can also subscribe to daily or weekly updates via RSS or News Letter. This repo is generated by trackawesomelist-source, visit it Online or with Github. 📅 Weekly · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor · 😺 Github · 🌐 Website · 📝 07/29 · ✅ 07/29 Table of Contents Recently Updated Top 50 Awesome List All Tr

                            Track Awesome List Updates Daily
                          • The Little Book of Deep Learning

                            The Little Book of Deep Learning François Fleuret François Fleuret is a professor of computer sci- ence at the University of Geneva, Switzerland. The cover illustration is a schematic of the Neocognitron by Fukushima [1980], a key an- cestor of deep neural networks. This ebook is formatted to fit on a phone screen. Contents Contents 5 List of figures 7 Foreword 8 I Foundations 10 1 Machine Learnin

                            • My experience as a Gazan girl getting into Silicon Valley companies

                              UPDATE:Due to the huge interest in this post (OMG! I wasn’t expecting this turnout😅), here are quick answers for the questions I am receiving: If you’re a software engineering student/professional in the Middle East and want to get to Google, I recommend you apply to the RBK program to get experience building fullstack projects and the Manara program to practice interviews and get referrals .If y

                                My experience as a Gazan girl getting into Silicon Valley companies
                              • 19_3.eps

                                The Haskell School of Music — From Signals to Symphonies — Paul Hudak Yale University Department of Computer Science Version 2.4 (February 22, 2012) i The Haskell School of Music — From Signals to Symphonies — Paul Hudak Yale University Department of Computer Science New Haven, CT, USA Version 2.4 (February 22, 2012) Copyright c � Paul Hudak January 2011 All rights reserved. No part of this public

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