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Simple reference implementation of GraphSAGE.

Generate embeddings from large-scale graph-structured data.

Graph Neural Network Library for PyTorch

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

Representation learning on large graphs using stochastic graph convolutions.

A cheatsheet of modern C++ language and library features.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Kubernetes-native Deep Learning Framework

Brings SQL and AI together.

A backup tool for renren.com

A version of Valve's Dota2 replay parser that also compiles on OS X (and hopefully Linux)