modularity

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

Python script for command line control of HomeBridge (HomeKit)

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Searchable Code Snippets/Functions/Classes

A template for a Python monorepo 🐍

A 🖥 Desktop GUI for 🤖Face Recognition Based 🙋🏻‍♂️Attendance Management System

Implementation of the colony specification for python

Python Voice-Chatbot with offline voice recognition.

[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"

Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. Works for single-layer, multi-layer, directed, and weighted networks, and restricts focus to a fixed number of communities when desired.

An interpretability library for pytorch

A simple, modular Discord bot from scratch

An abstract implementation of the registry design pattern proposed in (Hartog et. al., 2023). Provides a factory for registries that dynamically organize modular functionalities.

A Python implementation of improved Label Propagation Algorithm.

Library for managing OctoBot tentacles (plugins) installation, updates, and configuration

Fast kappa-path Community Detection (FKCD): WERW-Kpath edge centrality plus Generalized Louvain modularity maximization, scaling to networks with millions of nodes.

Meta test family (MTF) is a tool to test components of a modular Fedora:

Louvain method for greedy modularity maximization community detection on weighted graphs