Show HN: Cloud Seeder - Self Host with a Click on Your Home PC – Golang https://ift.tt/PAc5jJg

Show HN: Cloud Seeder - Self Host with a Click on Your Home PC – Golang https://ift.tt/WcplNsj May 1, 2024 at 05:22AM

Show HN: I built a Plant Identification Tool Powered GPT4 Vision https://ift.tt/2t0xG8n

Show HN: I built a Plant Identification Tool Powered GPT4 Vision https://ift.tt/OYUfCil April 30, 2024 at 09:53PM

Show HN: I replicated Anthropic's monosemanticity research using just my MacBook https://ift.tt/yV1ZwvC

Show HN: I replicated Anthropic's monosemanticity research using just my MacBook Hi everyone, I've been working on an open-source implementation of Anthropic's research on monosemanticity ("Towards Monosemanticity"). The problem Anthropic is trying to solve is that language models are hard to interpret because individual neurons can be responsible for multiple different things. The research finds that training a small autoencoder on neuron activations can result in "features" which are much easier to interpret. When I was reading the original research, I got really excited when I realized that the models they used were really small, and I could probably train them from scratch with just my M3 MBP. My models are somewhat undertrained compared to what Anthropic produced, but I think my results are still very compelling. Let me know what you think! https://ift.tt/ipVvkc7 April 30, 2024 at 10:56PM

Show HN: Community-written abstracts for research papers https://ift.tt/MRso07y

Show HN: Community-written abstracts for research papers https://ift.tt/4upyZDP April 30, 2024 at 11:04AM

Show HN: Define and implement any function on the fly with LLMs https://ift.tt/RsNyg1C

Show HN: Define and implement any function on the fly with LLMs It's not a serious library, but I figured it could be something fun to make. https://ift.tt/zEeBIX5 April 30, 2024 at 04:29AM

Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton https://ift.tt/JEX1sdO

Show HN: Attorch – PyTorch's nn module written in Python using OpenAI's Triton attorch is a subset of PyTorch's nn module, written purely in Python using OpenAI's Triton. Its goal is to be an easily hackable, self-contained, and readable collection of neural network modules whilst maintaining or improving upon the efficiency of PyTorch. In other words, it intends to be a forkable project endowed with a simple, intuitive design that can serve as an accessible starting point for those who are seeking to develop custom deep learning operations but are not satisfied with the speed of a pure PyTorch implementation and do not have the technical expertise or resources to write CUDA kernels. There already exist a number of wonderful PyTorch-like frameworks powered by Triton, but most concentrate solely on Transformers and NLP applications, whereas attorch aims to be more inclusive by also presenting a variety of layers pertaining to areas besides NLP such as computer vision. Moreover, attorch is not an inference-only package and fully supports both forward and backward passes, meaning it can be used during training as well as inference, though its performance for the latter is generally not on par with dedicated inference engines. Questions and feedback are welcome in the comments sections. https://ift.tt/tXipzgG April 30, 2024 at 01:07AM

Show HN: Kaytu – Optimizing cloud costs using actual usage data https://ift.tt/mbM8jBp

Show HN: Kaytu – Optimizing cloud costs using actual usage data Reduce your cloud costs - SREs/DevOps/Cloud Engineers Hi community! We are Kaytu (“Kay-two,” named after the K2 mountain), and we've developed an open-source tool for engineering, DevOps, and SRE teams to reduce cloud costs. Cloud inflation (“cloud-flation”) is real—AWS EC2 costs are up 23% (4-5x global inflation average [1]), and 30% of the capacity that is paid for is simply wasted ([2]). The best way to improve cloud utilization is by simplifying the process so engineers can spot inefficiencies and suggest changes. We built a simple open-source CLI tool that recommends a cost-optimal workload based on actual usage data from observability tools. Check it out at https://ift.tt/ZmAUbgL Currently, we support AWS EC2 On-Demand Servers & EBS Storage using observability data from CloudWatch to determine utilization. You can optimize EC2 Servers based on CPU, Network, Memory, and Storage. We're expanding support to include OS License, GPU metrics, RDS, and Prometheus integration, and we plan to add more AWS services like EKS and OpenSearch, as well as Azure. This is more than just a utility—we want to provide a no-nonsense platform that makes it ridiculously easy for engineers to build cost-effective apps on the cloud by optimizing workload configurations and customizing to scenarios. Open Core: Inspired by Sid Sijbrandij and GitLab, we've open-sourced our CLI and are actively working on the server side. Our tooling will always remain straightforward and support open-source tools for free. We made it as simple as possible to try out - it’s one command, no sign-up needed, no SaaS platform to share your credentials. We would love you to try it out and give us your feedback! If there are bugs, we would greatly appreciate it if you reported them on GitHub. Cheers, The Kaytu Team (Anil, Arta, Mahan, and Saleh) References: [1]Tangoe IT Trends Savings Recommendations and Liftr Insights data Cloud Pricing [2] Flexera State of Cloud Report - Multiple reports spanning 2017-2023 https://ift.tt/ZmAUbgL April 29, 2024 at 09:27PM

Show HN: See SAT sites close to you for June SAT https://ift.tt/VxsyKTB

Show HN: See SAT sites close to you for June SAT https://ift.tt/FDgCxYs April 29, 2024 at 08:37AM

Show HN: Bard PDF – Chat with Pdf in Google Bard or Gemini https://ift.tt/akhyfAv

Show HN: Bard PDF – Chat with Pdf in Google Bard or Gemini Chat with pdf in Google Bard or Gemini for free. Several ways to have conversations with pdfs in Google Bard or Gemini. https://bardpdf.dev April 29, 2024 at 08:31AM

Show HN: Dotenv, if it is a Unix utility https://ift.tt/e7cHI1a

Show HN: Dotenv, if it is a Unix utility I like the idea of using dotenv files, but I dislike having to use different language-specific libraries to read them. To solve this, I created a small utility that lets you prefix any command with "dotenv" to load the ".env" file. This is how I imagine dotenv would work if it had started as a UNIX utility rather than a Node.js library. https://ift.tt/wxABT1s April 29, 2024 at 01:55AM

Show HN: Audio Mastering with Text Prompts https://ift.tt/EycGHRi

Show HN: Audio Mastering with Text Prompts https://diktatorial.com April 28, 2024 at 11:35PM

Show HN: Is_ready – Wait for many services to become available – 0 Dependencies https://ift.tt/NlUeISh

Show HN: Is_ready – Wait for many services to become available – 0 Dependencies https://ift.tt/cR1yLNf April 28, 2024 at 03:24AM

Show HN: Scenestamps – A website for sharing movie scenes with timestamps https://ift.tt/qG9FUjD

Show HN: Scenestamps – A website for sharing movie scenes with timestamps Hello hackers, I've launched a website specifically for sharing scenes, complete with descriptions and timestamps from various films and TV shows. I'm reaching out to gather your perspectives and recommendations in these domains to improve the site and extend my outreach. Link : https://scenestamps.com You are not required to register/login to browse the site. Scenestamps Features: 1. Search : You can directly search for a scene or a source. 2. Upload Posts : You can register with your google account, login and start posting right away. Unlike other sites in this specific domain, users are allowed to upload posts. There are two types of posts - scene - source Source is a movie,tv show, documentary, etc... One source can have multiple scenes While creating a scene post, source can be selected there. Scene post will have the timestamp fields. There are two types of it: - single - one input field of timestamp in which the scene happens. - from-to - two input fields, from and to within which the scene takes place. 3. Share posts : Share feature is available on both source and scene posts, with which you can share the post to your favorite social media platforms 4. Tagging system : You can add tag to the scene posts. You can also get all the scenes that has that tag name by clicking on it. I think people wanting to create scenes is quite a small audience, but I want to make this the best it can possibly be so please post any problems or suggestions in the replies or at reddit.com/scenestamps.com or message me x.com/gjpx_ if you prefer. April 26, 2024 at 12:10PM

Show HN: Htpy – generate HTML from Python without templates https://ift.tt/GzMiuJZ

Show HN: Htpy – generate HTML from Python without templates I built a library that to generate HTML from Python. We have been using this library with Django the last couple of months instead of classic templates and find it to be productive. It is easy to debug, works great with static type checkers and it is easy to build reusable components/partials. Give it a try! https://htpy.dev April 28, 2024 at 01:04AM

Show HN: I want my family to listen to more music(less movies) https://ift.tt/D4yTJzl

Show HN: I want my family to listen to more music(less movies) I decided to use the home entertainment system to take over the TV. Limited visual stimulation. Front Row is a collection of live musical performances gathered by music fans of all kinds. https://thefrontrow.app Download for iOS or Apple TV https://ift.tt/pmh3UwM... And fuck it. I'm letting anyone add videos directly to the database! https://ift.tt/kXQvGI3 April 27, 2024 at 11:02PM

Show HN: Spade – UI for Data Processing https://ift.tt/rxAZ5O6

Show HN: Spade – UI for Data Processing https://ift.tt/RTVqQMs April 27, 2024 at 01:50AM

Show HN: I made a spaced repetition tool to master coding problems https://ift.tt/OfD5HTk

Show HN: I made a spaced repetition tool to master coding problems As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review! Here's the theory behind spaced repetition and learning if interested: https://ift.tt/qBmE43Y https://www.lanki.xyz/ April 27, 2024 at 01:08AM

Show HN: I Made an AI Software Engineer with Claude 3 Opus https://ift.tt/eRbAmp7

Show HN: I Made an AI Software Engineer with Claude 3 Opus https://saas-quick.com April 27, 2024 at 12:00AM

Show HN: I made a site for practicing front end debugging with real-world bugs https://ift.tt/l5BietK

Show HN: I made a site for practicing front end debugging with real-world bugs I am excited to introduce my solo project, a platform built with the frontend development community in mind. It's an interactive environment aimed at refining debugging skills through exposure to real-world bugs. This project stems from the need for a hands-on, practical method of learning to debug. The site features a variety of intentional bugs for users to solve, mirroring the types of challenges faced in professional settings. Over the coming weeks, I will be adding many more exercises and new features to enhance your learning experience further. Check out CodeMender at https://ift.tt/FV9p1sH https://ift.tt/FV9p1sH April 26, 2024 at 11:29PM

Show HN: I built an AI tutor that explains questions from pictures https://ift.tt/jCibndz

Show HN: I built an AI tutor that explains questions from pictures Hey HN! I've been spending the last 2 weeks to create an AI to help students, one tap picture -> steps + answers to solve it. Let me know if it seems interesting and works on your questions! Would also love any other feedback https://ift.tt/Qlenzp5 April 26, 2024 at 04:11AM