Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
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Updated
Feb 6, 2024 - Python
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Clustering routines for the unit sphere
⚡️ zeus: Lightning Fast MCMC ⚡️
A learned sampling approach for point clouds (CVPR 2019)
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
Select, weight and analyze complex sample data
Better Data Splits for Machine Learning
[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
Sampling nuclear data and uncertainty
A python library for metabolic networks sampling and analysis
Learning informed sampling distributions and information gains for efficient exploration planning.
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Data Sampling App from Serial to CSV file
A short implementation of blue noise sampling for triangle meshes
X-PSI: X-ray Pulse Simulation and Inference
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