RobertCsordas/ndr
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
This project helps machine learning researchers explore and reproduce experiments from the paper "The Neural Data Router". You provide experiment configurations, and the system runs the neural network models, tracking their performance. The output includes experiment results and plots, enabling you to compare different model configurations and understand their generalization capabilities.
No commits in the last 6 months.
Use this if you are a machine learning researcher interested in understanding or reproducing experiments related to adaptive control flow in transformer models for systematic generalization.
Not ideal if you are looking for a pre-trained model or a library to directly apply a neural data router to a specific real-world task without research-focused experimentation.
Stars
34
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jun 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/RobertCsordas/ndr"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
transformerlab/transformerlab-app
The open source research environment for AI researchers to seamlessly train, evaluate, and scale...
naru-project/naru
Neural Relation Understanding: neural cardinality estimators for tabular data
neurocard/neurocard
State-of-the-art neural cardinality estimators for join queries
danielzuegner/code-transformer
Implementation of the paper "Language-agnostic representation learning of source code from...
salesforce/CodeTF
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM