Matthias Fey (rusty1s)

rusty1s

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Location:Dortmund, Germany

Home Page:https://rusty1s.github.io

Twitter:@rusty1s

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Matthias Fey's repositories

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

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pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

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pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

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deep-graph-matching-consensus

Implementation of "Deep Graph Matching Consensus" in PyTorch

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pytorch_spline_conv

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

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pyg_autoscale

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

embedded_gcnn

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

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himp-gnn

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

pytorch_unique

PyTorch Extension Library of Optimized Unique Operation

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mongoose-i18n-localize

Mongoose plugin to support i18n and localization

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RSClipperWrapper

A small and simple wrapper for the Clipper library to perform polygon clipping (Swift)

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class-resolver

🔍 Lookup classes and instantiate them with style

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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mongoose-i18n-error

lightweight module for node.js/express.js to create beautiful mongoose i18n validation error messages

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mongoose-integer

mongoose plugin to validate integer values within a Mongoose Schema

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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datasets_knowledge_embedding

Datasets for Knowledge Graph Completion with textual information about the entities

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featuretools

An open source python library for automated feature engineering

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group_equivariant_capsules_pytorch

Pytorch implementation of Group Equivariant Capsule Networks

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k-gnn

Source code for AAAI subimssion #3463.

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scholar.py

A parser for Google Scholar, written in Python

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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data

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

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metrics

Machine learning metrics for distributed, scalable PyTorch applications.

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