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flmeetsrs

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

heterogeneusmodeldnn

libtaulop

τ-Lop is a new parallel performance model aimed to help in the design and optimization of parallel algorithms in multi-core clusters. It represents a parallel algorithm and predicts accurately its costs through the concept of concurrent transfers. By now, τ-Lop has been applied to underlying algorithms in MPICH and Open MPI mainstream implementations of some MPI collectives in shared memory. Current work is in the application of the model to collective operations when deployed in networks of multicore nodes.

mapping_sb3

mesh

Mesh TensorFlow: Model Parallelism Made Easier

parameters

Parameter measure with mpiblib

plotneuralnet

Latex code for making neural networks diagrams

taulopbeaumont

Tool which uses beaumont algorithm variations to estimate the communication cost with Tau-Lop library

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.