auto-paper-digest: An automated pipeline that tracks Hugging Face weekly AI papers, downloads PDFs, imports them into NotebookLM, generates video overviews, and archives everything into a searchable weekly digest.

Weekly summary of activity on your GitHub repository :calendar:

A list of weekly's for developers

📘每周更新国外论坛的前端热门文章，推荐大家阅读/翻译，紧跟时事，掌握前端技术动态～

Send daily/weekly/monthly digest

[Deprecated] MSBU Tech Official Homepage

Weekly digest of my RSS feeds ranked and filtered based on my interests

Offers a daily/weekly/bi-weekly/montly digest of the activity on your community

ArcBlock Engineering Weekly Digest Auto Generated by arcli

A weekly email digest from the selected economists RRS feeds

statically generated weekly digest of articles read in Pocket

📧 Get a daily/weekly/monthly digest of what's happening on your WordPress site instead of receiving a single email each time.

A guide on how to use the wealth of available material This class provides you with a great wealth of material, perhaps more than you can fully digest. This “guide" offers some tips about how to use this material. Start with the overview of a unit, when available. This will help you get an overview of what is to happen next. Similarly, at the end of a unit, watch the unit summary to consolidate your understanding of the “big picture" and of the relation between different concepts. Watch the lecture videos. You may want to download the slides (clean or annotated) at the beginning of each lecture, especially if you cannot receive high-quality streaming video. Some of the lecture clips proceed at a moderate speed. Whenever you feel comfortable, you may want to speed up the video and run it faster, at 1.5x. Do the exercises! The exercises that follow most of the lecture clips are a most critical part of this class. Some of the exercises are simple adaptations of you may have just heard. Other exercises will require more thought. Do your best to solve them right after each clip — do not defer this for later – so that you can consolidate your understanding. After your attempt, whether successful or not, do look at the solutions, which you will be able to see as soon as you submit your own answers. Solved problems and additional materials. In most of the units, we are providing you with many problems that are solved by members of our staff. We provide both video clips and written solutions. Depending on your learning style, you may pick and choose which format to focus on. But in either case, it is important that you get exposed to a large number of problems. The textbook. If you have access to the textbook, you can find more precise statements of what was discussed in lecture, additional facts, as well as several examples. While the textbook is recommended, the materials provided by this course are self-contained. See the “Textbook information" tab in Unit 0 for more details. Problem sets. One can really master the subject only by solving problems – a large number of them. Some of the problems will be straightforward applications of what you have learned. A few of them will be more challenging. Do not despair if you cannot solve a problem – no one is expected to do everything perfectly. However, once the problem set solutions are released (which will happen on the due date of the problem set), make sure to go over the solutions to those problems that you could not solve correctly. Exams. The midterm exams are designed so that in an on-campus version, learners would be given two hours. The final exam is designed so that in an on-campus version, learners would be given three hours. You should not expect to spend much more than this amount of time on them. In this respect, those weeks that have exams (and no problem sets!) will not have higher demands on your time. The level of difficulty of exam questions will be somewhere between the lecture exercises and homework problems. Time management. The corresponding on-campus class is designed so that students with appropriate prerequisites spend about 12 hours each week on lectures, recitations, readings, and homework. You should expect a comparable effort, or more if you need to catch up on background material. In a typical week, there will be 2 hours of lecture clips, but it might take you 4-5 hours when you add the time spent on exercises. Plan to spend another 3-4 hours watching solved problems and additional materials, and on textbook readings. Finally, expect about 4 hours spent on the weekly problem sets. Additional practice problems. For those of you who wish to dive even deeper into the subject, you can find a good collection of problems at the end of each chapter of the print edition of the book, whose solutions are available online.

weekly personal digest and player for your favorite podcasts

Get weekly coverage about what's happening in web community

Weekly digest on your GitHub repository in golang 📆

Our weekly digest in open source repository ❤️

TL;DR TaskWeave AI connects Slack, GitHub, Gmail, Trello, Notion, and Google Drive; ingests their events; uses LLMs to extract actionable tasks with priority; triggers cross‑app automations; and delivers daily/weekly digests. Built with FastAPI + PostgreSQL + Redis and deployable to AWS ECS/Fargate with GitHub Actions.

An automated Slack bot to syndicate local events into Slack channels in a weekly digest format. Event data is sourced from HackGreenville Labs' Events API.

A microservice to generate a comprehensive weekly digest of your newsletters supporting automated summarisation using background workers

AI-powered tool for Product Managers to track competitor updates from changelogs, app stores, and social media. Scrapes content, summarizes with GPT-4, classifies updates, and sends weekly digests to Slack or Notion. Built with Node.js, React, Puppeteer, and PostgreSQL.

Generate a weekly digest email for a blog using Azure Functions, SendGrid and Azure Table Storage.

A Claude Code skill that turns your newsletters and podcasts into a weekly written digest + audio episode, published to your own podcast RSS feed.

A weekly Artificial Intelligence paper digest by the brother, for the brothers.

A weekly digest of node.js news

Personal digests from Telegram channels and chats: summarizes threads, extracts key points, and delivers a clean daily/weekly brief with links and context.

GitHub Action to generate daily or weekly digests for Ghost blogs

Automated Google Scholar alert summarizer with Gemini AI and weekly email digest.

NOTE: sizzlelab/weekreport is not the offical fork! Simple weekly email reporting. Collects weekly reports from teams and sends the digest email.

IoT Solar Plant Simulator with Digest Generator - Deterministic simulator for grid-connected solar PV plants that generates realistic telemetry data, computes daily/weekly digests, and anchors digest hashes to the blockchain for carbon credit verification