Signal Processing Toolkit, including ML models with visualization
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Updated
Jun 26, 2025 - Python
Signal Processing Toolkit, including ML models with visualization
Compressed sensing and denoising of images using sparse representations
Adèlic spectral frameworks for computational number theory: exploring exact discrete bounds for pattern avoidance via CP-SAT, and quantum-physical realizations of automorphic L-function zeros.
NEXAH-CODEX: Universal resonance structures — prime harmonics, symbolic mathematics, field architectures, and cosmic grids for a new paradigm of exploration.
更适合中国宝宝体质的注意力练习题, 中国也要有自己的拉马努金!
An implementation and report of the twice Ramanujan graph sparsifiers.
World's best JSON/NDJSON compressor. Format-aware lossless compression engine in Rust - schema inference, columnar reorg, type-specific encoding. 2-3x better than zstd on structured data.
A new computational substrate for machine reasoning — no vectors, no softmax, no backpropagation. Built on typed relations, topological surprise, and the mathematics of Ramanujan.
Generating Ramanujan cab numbers
This repo contains some of the well-known algorithms for Numerical Analysis.
Ramanujan Cipher – Encrypt messages into mathematical equations written in exotic scripts.
Calculability and Complexity aka mainstream algorithms and their time analysis
Official repository for 'The Modular Spectrum of π'. Source code and proofs unifying the 6k ± 1 prime channel structure, Level 58 Ramanujan-Sato series (via PSLQ), and arithmetic supercongruences.
A small tribute to one of the great mathematician in history, Srinivasa Ramanujan.
Ramanujan-style birthday magic square generator (PWA + reverse search)
Ramanujan-Machine-style identity hunter: PSLQ over parameterized series families, blind-rediscovers Apéry, Comtet, Lehmer, Catalan classical, log 2 from scratch. Built in an evening with Claude.
Calculate the approximate value of π using python, mathematical formulas proved by renowned mathematicians and physics simulator.
Some interesting formulae for approximating pi
Signal Processing & Machine Learning
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