Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

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.

BitBIRCH clustering algorithm

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics

Better Data Splits for Machine Learning

A library of sampling algorithms

Select, weight and analyze complex sample data

Module containing scripts to perform multiple comparison simultaneously and getting the exact same value as the average pairwise comparisons of molecules represented by binary fingerprints or real number descriptors.

[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

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）

[ICLR 2022] Path integral sampler

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"

X-PSI: X-ray Pulse Simulation and Inference