Show HN: Instant AI portraits, generate pics of yourself in a few seconds https://ift.tt/7Zpu0Rl

Show HN: Instant AI portraits, generate pics of yourself in a few seconds https://ift.tt/vaF89PK November 29, 2023 at 04:44AM

Show HN: Historical Movie Map https://ift.tt/wLrsgWl

Show HN: Historical Movie Map Hi HN - I love movies, history, and code, so I decided to combine the three together. Enjoy! https://ift.tt/ChANVkj https://ift.tt/l817dIB November 28, 2023 at 11:41PM

Show HN: Neets.ai – Cheap and Robust TTS Platform https://ift.tt/RJ3aZgT

Show HN: Neets.ai – Cheap and Robust TTS Platform We used to rely on ElevenLabs for their TTS API, however the prices for Eleven and their competitors were enormous. That led us to developing our own TTS platform, Neets.ai, which we will grow and improve with a much lower price than our peers. We're always looking for developers. If you think you have the skills, reach out: https://ift.tt/k1VUq4v https://neets.ai/ November 29, 2023 at 03:30AM

Show HN: Build an open-source computer vision model in seconds using text https://ift.tt/13wEgre

Show HN: Build an open-source computer vision model in seconds using text Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it work? We believe that with the rise of foundation vision models, computer vision will fundamentally change. These powerful models will let any devs “compile” a model ahead of time with a subset of the foundation model’s characteristics, using only text and a web-tool. The days of teams of MLEs building complex models and pipelines are ending. Zeroshot works by using two powerful pre-trained models, CLIP and DINOv2 together. The web-app allows users to quickly create our training sets via text search. Using pre-cached DINOv2 features, we generate a simple linear model that can be trained and deployed without any fine-tuning. Since you can see what’s going into your training set, you can tune your prompts to get the type of performance or detail you want. CLIP Small -- Size: 335 MB, Latency: 35ms CLIP Large -- Size: 891 MB, Latency: 276ms Zeroshot -- Size: 85 MB, Latency: 20ms What’s next? We wanna see how people use or would use the tool before deciding what to do next. On the list: clients for iOS and NodeJS, speeding up GPU inference times via TensorRT, offering larger Zeroshot models for better accuracy, easier results refining, support for bringing your own data lake, model refinement using GPT-V, we’ve got plenty of ideas. https://ift.tt/aOGQt30 November 29, 2023 at 01:48AM

Show HN: Star Time Lapse Videos with a Raspberry Pi Camera and AllSky https://ift.tt/Wd6U2Cr

Show HN: Star Time Lapse Videos with a Raspberry Pi Camera and AllSky https://ift.tt/1j8pq74 November 28, 2023 at 04:31AM

Show HN: DepAuth – Simulate lost/hacked accounts/devices/apps as a nice graph https://ift.tt/iI5ycOU

Show HN: DepAuth – Simulate lost/hacked accounts/devices/apps as a nice graph https://depauth.com November 27, 2023 at 06:38PM

Show HN: I built a guided Build your own DNS Server challenge https://ift.tt/XaPrgEv

Show HN: I built a guided Build your own DNS Server challenge Hey everyone. It's Sherub here, author of the Build your own DNS Server challenge on CodeCrafters. Currently it’s available in Rust, Go, and Python and is free while in beta. https://ift.tt/o5xBGyQ I've kept the challenge accessible but still challenging for an intermediate developer. This challenge, like others from CodeCrafters, is self-paced. You can use any tools you prefer (terminal, editor, etc.) to build the project. At the end of the challenge, you will have created a DNS forwarding server. The server can create and read DNS packets and respond to DNS queries. As you go, you'll learn about the DNS protocol, its format, servers, and A records. All while getting to hone your language skills. Some of the challenges and choices I had to make: * To make the stages easier, I had to break them up, such that each step builds on the previous one. This was especially challenging for the 2nd stage, where we write a DNS packet's header contents. Even though I’d have liked it to be easier, breaking it up further would have been weird. * Instead of implementing a recursive resolver, I've restricted to a forwarding server. We made this decision so that most developers can still use it. To add more complexity, we can use a challenge extension (noted below). * Deciding how much instruction and context the stages should provide. I’ve decided to keep them as thorough as possible for most of the stages. Developers can choose to have thorough details or just skim through them. I would love your feedback and questions on the challenge. You can try it out for free here: https://ift.tt/o5xBGyQ (no CC required). I also have challenge extensions planned. You can find them at https://ift.tt/OkvXg9x... . I'm also keen to hear what you think about the extension ideas. https://ift.tt/FwhiSXW November 27, 2023 at 12:06PM