Sort Any Awesome List by GitHub Stars
As a CS undergrad, I self-taught many topics not covered by the school. Typically awesome list is where I started with. I spent my second half in college researching computer vision and machine learning. CVPR accepts over 2000 papers every year, not to mention arXiv. The awesome lists curated by the community usually serve as checklists when I was doing literature surveys. But since the number of the list items was overwhelming, I had to prioritize which papers to read first. Many of them had been uploaded to arXiv in the last few months, so I had no clue how many citations they would get.…
What it does
In the maker’s words, at launch
As a CS undergrad, I self-taught many topics not covered by the school. Typically awesome list is where I started with. I spent my second half in college researching computer vision and machine learning. CVPR accepts over 2000 papers every year, not to mention arXiv. The awesome lists curated by the community usually serve as checklists when I was doing literature surveys. But since the number of the list items was overwhelming, I had to prioritize which papers to read first. Many of them had been uploaded to arXiv in the last few months, so I had no clue how many citations they would get. When learning web development, I also had difficulty finding the best package for the tasks like data validation and client-side routing. To make a decision, I had to browse through GitHub repositories or read the documentation. I wish I could have my awesome lists sorted, desirably by popularity. This led to the creation of my project: a web app that rearranges any awesome list with hints from GitHub stars. It may not work well when the list items do not contain links to GitHub repositories or pages, but it truly shines when most of them do. I hope this could help anyone else. P.S. I'm aware of a similar project (https://github.com/kvnxiao/sort-awesome-lists), a CLI application with more features. For example, it checks if any GitHub repository link exists on the linked website.
Does the same job
all alternatives →



- CLCurated List of Online Learning2020 · ▲43
Hi HN, The discussion pops up regularly about which MOOCs and courses to take so I figured I'd start a curated list of recommendations. It's by no means exhaustive (and it's just the ones I know) and is quite broad. If you had any suggestions, feel free to create a PR or Issue, or even respond to this post and I will add it. I'd love to be able to capture quality somehow, but not sure of the way to go about that just yet. https://github.com/tombasche/professional-development

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, March 2023
the whole month →




- BI
I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
AI · 2023 · genmon.github.io