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Starred repositories
Paper Lists for Graph Neural Networks
A Deep Graph-based Toolbox for Fraud Detection
π A C++ library for parallel graph processing (GRAPE) π
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
C++ Parallel Computing and Asynchronous Networking Framework
A curated list to learn about distributed systems
A C++ library to compress and intersect sorted lists of integers using SIMD instructions
Must-read papers on graph neural networks (GNN)
Reliable Allreduce and Broadcast Interface for distributed machine learning
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow