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ramanujan-machine-cuda
cahlen/ramanujan-machine-cuda
ramanujan-machine-cuda is a machine learning model from cahlen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for kernels. The card lists the license as mit.
Searches for polynomial continued fraction formulas with asymmetric degrees. Evaluates CF candidates and matches against known mathematical constants.
Access
Public
Updated Apr 14, 2026
Repo size
1.6 MB
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At a glance
- Library
- kernels
- License
- mit
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026
- SHA
- 1839df4b
Datasets
Model card
From the Hugging Face model README
Ramanujan Machine v2 (Asymmetric-Degree CF Search)
Searches for polynomial continued fraction formulas with asymmetric degrees. Evaluates CF candidates and matches against known mathematical constants.
Usage
import torch
from kernels import get_kernel
kernel = get_kernel("cahlen/ramanujan-machine-cuda")
result = ramanujan.search(deg_a=1, deg_b=2, range_a=10, range_b=10)
Compile (standalone)
nvcc -O3 -arch=sm_90 -o ramanujan_machine ramanujan/ramanujan_v2.cu -lm
Results
All computation results are open:
- Website: bigcompute.science
- Datasets: huggingface.co/cahlen
- Source: github.com/cahlen/idontknow
Citation
@misc{humphreys2026bigcompute,
author = {Humphreys, Cahlen},
title = {bigcompute.science: GPU-Accelerated Computational Mathematics},
year = {2026},
url = {https://bigcompute.science}
}
Human-AI collaborative. Not peer-reviewed. All code and data open.
- Library
- kernels
- License
- mit
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026