194 Open source projects that are alternatives of or similar to pyg_autoscale

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

Locally Private Graph Neural Networks (ACM CCS 2021)

Graph-based machine learning for chemical property prediction

The Koa framework extended for APIs. Optimized for security, scalability, and productivity.

Microservices Architecture Workshop focuses on helping the developers / architects to understand the key Architecture paradigms with hands on section. The course helps the developers from Monolithic App mindset to a Microservices based App development. It also helps the developers with hands on development experience with key Microservices infra…

concurrent linked list implementation

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

DDD/Clean Architecture inspired boilerplate for Node web APIs

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

High Efficiency Reliable Access to data stores

A reasonably complete implementation of the Universal Scalability Law model.

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

The scalable, auditable and high-performance tamper-evident log project

Disentagnled Graph Collaborative Filtering, SIGIR2020

Summary of social recommendation papers and codes

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

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Julia functional programming infrastructures and metaprogramming facilities

Subgraph Neural Networks (NeurIPS 2020)

Framework for Evolutionary Event-Driven Microservices on the JVM

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

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).

OpenPMIx Project Repository

Hazelcast IMDG Go Client

hybris gist by winston

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Hazelcast .NET Client

Visualization tool for Graph Neural Networks

Smart contracts comprising the business logic of the Matic Network

Analyze system scalability with the Universal Scalability Law

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

Demoing Kubernetes/AKS features

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

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

A collection of full-stack resources for programmers.

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Code and resources on scalable and efficient Graph Neural Networks

Python Actor concurrency library

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Generate random data for MongoDB

[WIP] An opinionated framework for building distributed domain driven systems using microservices architecture

Distributed database for the modern world

Example of Docker Compose scale and load balancing features

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

A Node.js library for building zero-configuration microservices.

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Notes on Site Reliability Engineering. Leave a 🌟 if you found this useful!

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

Examples for the Manning "Vert.x in Action" book

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Imhotep is a large-scale analytics platform built by Indeed.

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

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Build your own Game-Engine based on the Entity Component System concept in Golang.