Personal, opinionated Xteink firmware focused on battery life and rendering efficiency. Based on CrossInk and CrossPoint.

A federated library branch daemon

Data, scripts and workbooks for benchmark study of Tsetlin Machine QSAR

Scraping repository of the most relevant topics with regards to Spatio-Temporal Neural Networks available in the arXiv archive. The repository and workflow is based on https://github.com/SpikingChe…

The pretrained embeddings using Tsetlin Autoencoder

Rust implementation of the Tsetlin Machine, a rule-based machine learning algorithm introduced by Ole-Christoffer Granmo.

Visualised demo of Tsetlin Automaton

A Tsetlin Machine written in C.

High-performance Tsetlin Machine in Rust. Const generics, bitwise SIMD, zero-alloc inference. 25-92x faster clause evaluation.

Firmware for Xteink X3/X4. Personal fork of Crosspoint.

The cryptography-based networking stack for building unstoppable networks with LoRa, Packet Radio, WiFi and everything in between.

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings fo…

Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.

The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.

Exploring Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

Interactive, in-browser lab for interpretable Tsetlin Machines: view every rule in plain language, trace any sample end-to-end (inputs → clauses fired → vote → class), and compare binarisers & engi…

Firmware for the Xteink X3 and X4 e-paper display readers (now with App support!)

inference

OV7670 camera sensor demo project for Tang Nano 9K board

Metal programming in Julia

Code and datasets for the Tsetlin Machine

Sole.jl – Long live transparent modeling!

Examples in the MLX framework

MLX: An array framework for Apple silicon

Julia API for MLX

A Python framework for N-agent collective learning using Tsetlin Machines and synthetic data sharing, supporting zero-shot sensor onboarding and LLM-driven feature extraction.

Sparse binary hypervectors and associated learners.