Graph-Convolution-on-Structured-Documents
pytorch_geometric
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| Graph-Convolution-on-Structured-Documents | pytorch_geometric | |
|---|---|---|
| 1 | 1 | |
| 141 | 14,506 | |
| - | - | |
| 0.0 | 9.8 | |
| over 1 year ago | almost 2 years ago | |
| Python | Python | |
| - | MIT License |
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Graph-Convolution-on-Structured-Documents
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Tips on running github projects without specific setup instructions?
I am trying to run this python project but I have hard time even installing requirements.txt And actually I don't have any more ideas what to do to run in properly. I can imagine that situation like this one happens more often and I would like to receive some tips on what to do in such situations in general.
pytorch_geometric
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Introduction to PyTorch
PyTorch Geometric
What are some alternatives?
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
pytorch_geometric - Graph Neural Network Library for PyTorch
jina - ☁️ Build multimodal AI applications with cloud-native stack
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
tutorials - PyTorch tutorials.
GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
molecule-generation - Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.