yashbonde/rasp
Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
This tool helps researchers and AI practitioners design and understand how Transformer neural networks process sequences. You provide a human-readable RASP program that defines a sequence manipulation task, and it outlines the corresponding neural network architecture. It's for anyone exploring the computational capabilities of Transformers or looking to translate high-level sequence logic into network components.
Use this if you want to conceptually program a Transformer's behavior for sequence tasks like reversing strings, counting frequencies, or sorting, and then see the underlying neural network structure.
Not ideal if you're looking for a general-purpose machine learning library to train existing Transformer models on large datasets, or if you need to deploy production-ready models.
Stars
60
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/yashbonde/rasp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with...
huggingface/transformers.js-examples
A collection of 🤗 Transformers.js demos and example applications
daviddaytw/react-native-transformers
Run local LLM from Huggingface in React-Native or Expo using onnxruntime.
salesforce/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable,...
jobergum/browser-ml-inference
Edge Inference in Browser with Transformer NLP model