Numba-compiled implementation of skew-t distribution.
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Updated
Apr 26, 2022 - Python
Numba-compiled implementation of skew-t distribution.
Official code for the NeurIPS 2022 paper "Posterior Matching for Arbitrary Conditioning".
Neural Density Estimation for Time Series Classification
Non Parametric Statistics: Density estimation with geyser data.
Курсовая работа на тему статистического анализа транспортной сети.
PyTorch wrapper for Deep Density Estimation Models
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Finite mixture of full-rank Gaussians for density estimation & variational inference.
Code and documentation from density UQ review paper.
This package is the result of my course project on density estimation.
Cutset networks implementation in C++
Implementation of the method for Density Estimation on an Unknown Submanifold from the paper https://arxiv.org/pdf/1910.08477.pdf
Code and Documentation for Functional Regression on Densities of Observations (FRODO)
This project offers an R code implementation for estimating the density function using the kernel method. It explores different values of the parameters h and n to perform these estimations.
Mathematica package of Visualization Tools to Classify 2D Ordering
Implementation of Nearest Neighbor Based Density Estimation
PyTorch implementation of MADE
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