deep_gcns_torch VS nasa_impacts

Compare deep_gcns_torch vs nasa_impacts and see what are their differences.

nasa_impacts

Plotly visualizations of NASA's IMPACTS snow storm study program (by alexkenan)
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deep_gcns_torch nasa_impacts
1 1
1,118 0
- -
0.0 0.0
almost 2 years ago about 3 years ago
Python Python
MIT License 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.

deep_gcns_torch

Posts with mentions or reviews of deep_gcns_torch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.

nasa_impacts

Posts with mentions or reviews of nasa_impacts. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing deep_gcns_torch and nasa_impacts you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

pyspedas - Python-based Space Physics Environment Data Analysis Software

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

GraphMixerNetworks - Official Implementation of Graph Mixer Networks

graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

Bi-Real-net - Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV