graph_nets
deepo
graph_nets | deepo | |
---|---|---|
2 | 1 | |
5,322 | 6,314 | |
0.0% | - | |
1.8 | 3.0 | |
over 1 year ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
graph_nets
-
[D] Graph neural networks
You can also have a look at these later surveys that give an idea of the different types of GNNs. Also if you prefer Tensorflow you can use the Graph Nets library.
-
RL Agent Library to use graph in spaces
I don't know if any RL library includes an already implemented agent that can process graphs. However there are a number of deep learning frameworks that can help with the implementation of graph neural networks, especially Graph Nets (based on Tensorflow) and PyTorch Geometric. You might need to modify an existing RL agent to make use of one of these frameworks. If you are not familiar with GNNs you can look up these surveys. This article may also be of interest to you: it tackles graph-based environments, and the paper's code is available (it has a custom implementation of A2C and uses PyTorch Geometric -- btw it doesn't use Gym's space.graph since this feature is very recent in Gym).
deepo
-
Base image with both PyTorch and Tensorflow?
I found an image though, though there's some setup involved: https://github.com/ufoym/deepo
What are some alternatives?
pytorch_geometric - Graph Neural Network Library for PyTorch
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
netron - Visualizer for neural network, deep learning and machine learning models
sr-drl - Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
torchinfo - View model summaries in PyTorch!
Keras - Deep Learning for humans
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
zipslicer - A library for incremental loading of large PyTorch checkpoints
optimizer - Actively maintained ONNX Optimizer
FloorplanTransformation - Raster-to-Vector: Revisiting Floorplan Transformation