euler VS simulacrum

Compare euler vs simulacrum and see what are their differences.

euler

A distributed graph deep learning framework. (by alibaba)
Graph graph-learning network-embedding Deep Learning graph-convolutional-networks graph-neural-networks graphsage random-walk Node2vec graph-embedding Gcn ggnn
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simulacrum

A framework for procedural content generation with C++20 (by josiest)
random-walk procedural-content-generation
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euler simulacrum
2 1
2,873 0
0.2% -
0.0 0.0
8 months ago over 1 year ago
C++ C++
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

euler

Posts with mentions or reviews of euler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

simulacrum

Posts with mentions or reviews of simulacrum. We have used some of these posts to build our list of alternatives and similar projects.
  • C++20 Random Walk template library
    1 project | /r/proceduralgeneration | 21 Feb 2022
    I wrote this template library for simulating random walks in C++20 easily. I'm thinking of eventually adding more simulation methods - like walking with a custom distribution, or walking in hexagonal unit steps, but for now it's just a really simple walk simulator.

What are some alternatives?

When comparing euler and simulacrum you can also consider the following projects:

GraphScope - 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]

vg - tools for working with genome variation graphs

GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)

GRAN - Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

motion_planning - Robot path planning, mapping and exploration algorithms

AnoGraph - Sketch-Based Anomaly Detection in Streaming Graphs

euler vs GraphScope euler vs awesome-graph-classification euler vs libgrape-lite euler vs pytorch_geometric_temporal euler vs efficient-gnns euler vs libvineyard euler vs vg euler vs GNNs-Recipe euler vs GRAN euler vs motion_planning euler vs AnoGraph