302 Open source projects that are alternatives of or similar to PyNets

Graph theory analysis of brain MRI data

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.

Tutorials for Machine Learning on Graphs

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

🌳 Stacked Gradient Boosting Machines

NetworkX-based Python library for representing ontologies

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

StellarGraph - Machine Learning on Graphs

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Machine learning for C# .Net

General Assembly's 2015 Data Science course in Washington, DC

Python library for parsing network topology data (eg: dynamic routing protocols, OpenVPN, NetJSON, CNML) and detect changes.

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

NetworkX API for Neo4j Graph Algorithms.

A lightweight, distributed workflow system

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Disentagnled Graph Collaborative Filtering, SIGIR2020

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Force Atlas 2 graph layout

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Convert an xyz file into a molecular graph and create a 3D visualisation of the graph.

D3 JavaScript networkx Graphs in Python

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

linguistic converter / merging tool for multi-level annotated corpora. graph-based (using Python and NetworkX).

Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Friends Recommendation and Link Prediction in Social Netowork

Visualization tool for Graph Neural Networks

A python framework for solving the VRP and its variants with column generation.

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Using Twitter Ego Network Analysis to Detect Sources of Fake News

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Library for working with TSPLIB files.

Social Network Facebook Analysis (Python, Networkx)

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

Demo of RouteNet in ACM SIGCOMM'19

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

We here are very big fans of NetworkX as a graph library and its comprehensive set of graph algorithms. For many though, working with NetworkX involves a steep learning curve. This guide is designed as an aid for beginners and experienced users to find specific tips and explore the world of complex networks.

Code and resources on scalable and efficient Graph Neural Networks

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Graphs and passing networks in football.

Examine and visualize dependencies used by Python modules 🔍

An efficient implementation of the PHANTOM (GhostDAG) block-DAG protocol, complete with a block-DAG network simulation framework and other niceties.

🅽🅴🆃🆆🅾🆁🅺🆇 An easy & handy library to monitor device internet connection status.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A curated list of community detection research papers with implementations.

Ensemble learning related books, papers, videos, and toolboxes

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Scikit-learn compatible estimation of general graphical models

Stacked Generalization (Ensemble Learning)

The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.

Federated Knowledge Extraction Framework

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库