sampling-methods topic

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

IBM

Public version of PolyChord: See polychord.co.uk for PolyChordPro

PolyChord

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

alan-turing-institute

Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"

InhwanBae

Samplers to obtain pointclouds from CAD meshes

arntanguy

A near-optimal exact sampler for discrete probability distributions

probsys

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either...

sharmaroshan

GPU Performance Advisor

Jokeren

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

ChunyuanLI

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

ChunyuanLI