cahlen/ramanujan-machine-results
Updated • 400
How to use cahlen/ramanujan-machine-cuda with Kernels:
# !pip install kernels
from kernels import get_kernel
kernel = get_kernel("cahlen/ramanujan-machine-cuda")Searches for polynomial continued fraction formulas with asymmetric degrees. Evaluates CF candidates and matches against known mathematical constants.
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)
nvcc -O3 -arch=sm_90 -o ramanujan_machine ramanujan/ramanujan_v2.cu -lm
All computation results are open:
@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 Not peer-reviewed.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.