Alternatives
Products that do what Heaviside-1, a foundation model for electromagnetism does
Describe a design, simulate it, and watch the predicted electric and magnetic fields resolve.
- 1EA
Hey HN! We are the co-founders of Elodin (https://elodin.systems/), a code-first physics simulation framework. We just open-sourced our core libraries on Github: https://github.com/elodin-sys/elodin Have you ever wondered what happens when a satellite is first placed into orbit? It turns out that often, they tumble out of control, end over end, in a miraculous fight against stability. Check out our demo here of a control system attempting to rectify this: https://app.elodin.systems/sandbox/hn/cube-sat The spacecraft does not…
2024 · github.com
- 2SB
2020 · landgreen.github.io
- 3AS
The little particles will gravitate to your cursor (or touch location), and can even enter stable orbits if the conditions are right! Mainly an excuse for me to experiment with wasm and WebGL, but it makes for a surprisingly good fidget toy.
2024 · aestuans.github.io
- 4IB
Mar 2026 · structuredlabs.github.io
- 5
- 6IP
I started teaching my daughter physics by showing her how things actually work - plucking guitar strings to explain vibration, mixing paints to understand light, dropping objects to see gravity in action. She learned so much faster through hands-on exploration than through books or videos. That's when I realized: what if I could recreate these physical experiments as interactive simulations? Lumen is the result - an interactive physics playground covering sound, light, motion, life, and mechanics. Each module lets you manipulate variables in real-time and see/hear the results…
Jan 2026 · projectlumen.app
- 7DE
2015 · lewis500.github.io
- 8IB
2022 · multiplanetary.website
- 9MI
Hi HN, excited to share the project I have been working on for the past two years. Marple was created by engineers for engineers. Marple helps them organize and analyze their sensor data in a more user-friendly way. We’ve all been there: measurement data from an experiment or test needs to be analyzed but the only thing you have is a few data files flying around. You do not have a clue how to open or read the data. So what you do next is open your Python/Matlab/Jupyter Notebook/… and start coding in order to make some sense of the data. We didn’t like that process, so we…
2022 · marpledata.com
- 10A2
2017 · htmlpreview.github.io
- 11
- 12TV
I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…
2025 · nature.com
- 13BP
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…
2022
- 14HM
For an architectural overview, view source of the page. Bottom has an ascii diagram of the geometry, and how the program works. For example: "a hexagon is six equilateral triangles (length h) put together around a common center" ____ _______ /\ /\ « each bisected \ | / (1/2, √3/2) /__\/__\ triangle in it h \ | / \ /\ / is defined by \|/ 60° \/__\/ h the unit circle » (0,0)
2020 · multisweeper.com
- 15T2
I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks. What’s new in 2.5: TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for…
Nov 2025 · priorlabs.ai
- 16AG
OP here. This is a geometric decoding of Chopin's Prelude No. 4. I built a 3D music midi visualizer ( https://github.com/jimishol/cholidean-harmony-structure ) and realized that standard music theory couldn't explain the shapes I was seeing. So, I developed the Umbilic-Surface Grammar to map the topology of the harmony. This document demonstrates that the prelude's tension isn't random, but a rigorous conflict between 'Gravity' (Station Shifts) and 'Will' (Pivots). I am looking for feedback on the logic—specifically from anyone with a background in topology or music…
Feb 2026 · github.com
- 17PS
Hi HN, I turned the freshly published paper “The Constructor Theory of Time” by David Deutsch and Chiara Marletto (arXiv, 13 May 2025) into an executable Python library. What you’ll find • One-to-one translation of the paper’s formalism: Substrates, Attributes, Tasks, Constructors, and task-algebra operators • Possibility / impossibility predicates and counterfactuals encoded exactly as defined • Test suite that mirrors every lemma and example (>95 % coverage, mypy-typed) • Reproductions of key results: time-keeping substrates, irreversibility proofs, quantum branching tasks, and a…
2025 · github.com
- 18HO
2018 · thehappykoala.github.io
- 19SW
2022 · github.com
- 20
Interactive Electromagnetic Field Lab for Physics Classrooms
Jun 2026 · electromagnetism3d.com
- 21AP
Hi HN. I built a prototype AI physics tutor that can interpret, draw, and edit free body diagrams. Lately I've been transfixed with generating diagrams with LLMs. If you pipe generated JSON through a D3.js renderer, you can get pretty consistent SVG results with the smarter models. This physics tutor prototype is an example of an application. For a couple premade scenes, you can ask it to make an FBD, decompose an angled force into components, run through the math of Newton's Second Law, or off-road and try and generate a FBD for a scene of your own description. I previously made a similar…
2025 · physicsviewer.com
- 22PS
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Dec 2025 · github.com
- 23AP
2013 · github.com
- 24IA
Somewhat inspired by a recent post here, I also made a three-body simulation on a whim, meaning to try out macroquad[0] (verdict: really nice!). Thanks to the engine I could trivially target wasm as well, so others can get mesmerized too. The source is available here: https://github.com/sulami/three-bodies [0]: https://docs.rs/macroquad/latest/macroquad
2024 · three-bodies.sulami.xyz
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