Official implementation and interactive visualization of the Position Pure (PP) linear-time unranking algorithm.
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Updated
Feb 28, 2026 - C++
Official implementation and interactive visualization of the Position Pure (PP) linear-time unranking algorithm.
Minimal and efficient JAX implementation of the Mamba State Space Model in JAX/Flax. Inspired by 'Mamba: Linear-Time Sequence Modeling with Selective State Spaces,' this repo provides fast, scalable, and well-documented state-of-the-art sequence modeling tools.
Concurrent implementation of Aho-Corasick string matching algorithm in C.
Linear-time sequence modeling that replaces attention's O(n²d) complexity with O(nd) summation-based aggregation. Demonstrates constraint-driven emergence: how functional representations can develop from optimization pressure and architectural constraints alone, without explicit pairwise interactions.
🍢 Radix sorting algorithms for JavaScript
Attention-Driven Transformers replace most attention layers with simple linear–activation blocks, keeping a single top attention layer to drive global representation learning. This design improves forecasting accuracy and speed over standard transformer models.
A linear-time k-center algorithm with fairness conditions and worst-case guarantees that is very fast in practice. Written in Rust with Python bindings.
Understanding and implementation of the algorithm to get three-coloring in triangle-free planar graphs
A rust translation of my easy_dc algorithm and very first rust program.
Presenting potential linear O(M) Diamter finding algorithm with worst case O(m * n). This is simply a C++ implementation of this iFUB algorithm.
Counting Sort O(n) implementation based on CLRS
Using Python, created an algorithm inspired by Rabin-Karp Algorithm for string pattern matching in linear time
C++ Implementation of Kruskal's Minimum Spanning Tree algorithm on IP nodes
An Implementation of Ukkonens 1990 linear-time algorithm for finding an approximate shortest superstring in Java. Also includes an extendable version of Aho Corasick's efficient string matcher.
Do your sorting in perfect O(n) linear time! 🧸, ... A crate of sorts.
This procedure initialise an array in logarithmic time, that is O(log n). That is generally asymptotically better than the classic procedure, which takes linear time O(n).
A linear-time string preprocessing algorithm. Can be used for linear-time pattern matching O(n+m)
Implemented linear-time (O(n)) algorithms by iterating efficiently over datasets, analyzing performance trade-offs while ensuring scalability for large input sizes.
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