quark-coder
Quantum computing and physics simulation tracker.
About
Quantum computing and physics simulation tracker.
NumPy's integer, indexing, datetime and string code copied line by line into Lean 4, raced against the real library and used to find 55 bugs.
Mathematical notes and experiments in number theory, algebra, geometry and statistical inference.
An executable museum of logic: one system, one evidence file, Zig.
An explicit learner for adversarial bandit convex optimisation with regret d^(3/2) sqrt(n) up to logarithms, formalized in Lean 4
Lean proofs, reproduction programs and frozen evidence behind a family of research papers
Active Inference — A Synthetic Overview: executable teaching paper, numerical demonstrations, Lean proofs, and twenty-minute lecture.
Lean 4 skeleton: inverse-team structure of the 3n+1 map, and the remaining lemma isolated as equivalent to the Collatz conjecture. Does not prove Collatz. Author: Benjamin Stanley Frohman.
:package: :whale: Dockerfiles and documentation on tools for public health bioinformatics
dsh-go — DeepSeek Harness 装进口袋:手机本机运行,也能遥控你的电脑。
An open-source quantum computing environment for JS/TS. Run directly in the browser or integrate deeply as a library and CLI tool. Features an intuitive circuit language, an OpenQASM compiler for industry compatibility, and an online Bench. 🚀
GPU tensor unlock source for RTX 4090 and experimental RTX 4070 Ti SUPER; firmware generated locally
Python library to facilitate genome assembly, annotation, and comparative genomics
Mathematical research by Richard J. Reyes: fourth-order PDEs, spectral dynamics, variational analysis, Fourier methods, curvature operators, and geometric constraints. Includes rigorous manuscripts, analytical proofs, counterexamples, compiled PDFs, LaTeX sources, and selected Lean formalizations.
Better Scientific Software Homepage
Incubator of the hyperpolymath type theory pipeline: findings from the kategoria lab are matured idea→alpha — speculative proofs-of-concept and prototype Idris2/Lean/Agda formalisations — before earning their own production repo.
A ground-up, native-Rust reimplementation of the entire Lean 4 toolchain — drop-in at the binary surfaces (.olean, C ABI, LSP, CLI), deterministic under parallelism, declaration-granular incremental, with a ≤12 KLOC dual-engine kernel that ships receipts.
Julia math built-ins which return NaN and accumulator functions which ignore NaN
Compute the arithmetic mean of absolute values for all iterated values.
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Personal Page of Sacha Cardonna