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  • Currently working on ...
    • IANN

      This is a project I am calling Inital Algebra Neural Networks for lack of a better name. Strongly inspired by Jeremy Gibbons' An Initial-Algebra Approach to Directed Acyclic Graphs and is basically applying this idea to neural networks for an inital algebra approach to neural networks. There is currently 4 repositories associated with this project.

      • Fungi and Fascia

        These repositories are more theory focused. Fungi is using Idris2 as it has proof relevant capacity but also has computational niceties. Fascia is using Cubical Agda for the HITs.

      • Crustaciann and Haskiann

        These repositories are more practical in focus with Crustaciann being in Rust for its fine control over what the computer is doing and speed while Haskiann is in Haskell for stronger types and easier prototyping.

      These repositories are being developed more or less in lockstep so they can inform and guide each other as the different languages have different viewpoints on the same ideas. On a sliding scale from theoretical to practical it would go Fascia, Fungi, Haskiann and Crustaciann.

    • My undergraduate degree in Cognitive Science

    • My dissertation

Jake Konrad's Projects

cubical icon cubical

An experimental library for Cubical Agda

idris2 icon idris2

A purely functional programming language with first class types

ivy icon ivy

The Unified Machine Learning Framework

ogb icon ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

pyglzip icon pyglzip

Graph compression techniques for graph learning systems

rayon icon rayon

Rayon: A data parallelism library for Rust

swarm icon swarm

Resource gathering + programming game

torch-quiver icon torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

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