Open-Sourcing Google's Lattice Models in PyTorch

Hacker News

We're a group of engineers, AI/ML enthusiasts, and author of this paper https://openreview.net/forum?id=0pxiMpCyBtr who saw a closed door in AI/ML and decided to open it. This project is a PyTorch reimagining of Google's TensorFlow Lattice models, which despite being labeled open-source, were previously open in name only (you have to be a Googler to contribute). Also, side point…TensorFlow is dying https://thenextweb.com/news/why-tensorflow-for-python-is-dyi... Here's the deal: Lattice models excel in making AI interpretable—key for sectors where understanding model rationale is as crucial as the prediction. Yet, their potential was gated behind Google's walls. Fueled by the spirit of true open-source philosophy and driven by the robust, community-centric ecosystem of PyTorch, we've built a toolkit that not only matches the functionality of Google's TensorFlow lattices but is open for everyone to contribute, improve, and innovate. We're inviting you to join in. Whether it's to critique, contribute, or simply to learn, we believe your voice can help shape the future of open-source AI/ML. https://github.com/ControlAI/pytorch-lattice

Visit product View on Hacker NewsNov 15, 2023

Share card

Actual performance

13points

3comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, new · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Acquia Open-Sourcing Statsgod, a StatsD Implementation in Go69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Acquia Open-Sourcing Statsgod, a StatsD Implementation in Go

Hacker News13

Open sourcing uRacer, a GLES2 top-down racer made with libgdx74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open sourcing uRacer, a GLES2 top-down racer made with libgdx

Hacker News29

Open Sourcing HireHub74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Sourcing HireHub

Hacker News1

We're open sourcing our handbook, built for inclusion75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We're open sourcing our handbook, built for inclusion

Hacker News9

Open-sourcing a side project: Townsourced74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-sourcing a side project: Townsourced

Hacker News1

Open sourcing my Pipes successor project74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open sourcing my Pipes successor project

Hacker News3

I'm Open-Sourcing My Book76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm Open-Sourcing My Book

Hacker News6

Open sourcing nearby.lk data models library68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open sourcing nearby.lk data models library

Hacker News15

I'm open-sourcing my game engine84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm open-sourcing my game engine

Hacker News318

Open Sourcing the M3O Cloud Next Dashboard73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Sourcing the M3O Cloud Next Dashboard

Hacker News3

Browse all products Analyze your launch