A C++ library for the creation of a large dataset of amino acid sidechain perturbations, own PDB Parser code included and some other things related.
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Updated
Jul 19, 2024 - C++
A C++ library for the creation of a large dataset of amino acid sidechain perturbations, own PDB Parser code included and some other things related.
FPLearner is a DL-based tool to predict performance and accuracy of mixed-precision programs that can be used in dynamic precision tuners to save time.
[RSS24] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
Code for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB).The outdated write-up (https://arxiv.org/abs/2101.07956) explains engineering details, but only a portion of the functionality is migrated to this newer PyTorch version 1.8.0nightly (e152ca5).
Dorylus: Affordable, Scalable, and Accurate GNN Training
❤️ CUDA/C++ GPU graph analytics simplified.
This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
Programmable CUDA/C++ GPU Graph Analytics
An Industrial Graph Neural Network Framework
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