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GitHub topics: density-estimation

fdaPDE/fdaPDE-cpp

A C++ library for physics-informed spatial and functional data analysis over complex domains.

Language: C++ - Size: 57.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 26 - Forks: 17

LixiangZhao98/MeTACAST

Selection techniques for particle data in VR environment with simple 6DOF point/stroke input.

Language: C# - Size: 200 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 19 - Forks: 1

probabilists/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

Language: Python - Size: 4.09 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 130 - Forks: 13

sissa-data-science/DADApy

Distance-based Analysis of DAta-manifolds in python

Language: Python - Size: 133 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 130 - Forks: 21

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 158 KB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 1,534 - Forks: 128

VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

Language: Python - Size: 7.44 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 845 - Forks: 126

jstmn/ikflow

Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"

Language: Python - Size: 75.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 67 - Forks: 10

samiemostafavi/pr3d

Delay probability density prediction using Mixture Density Networks in Tensorflow

Language: Python - Size: 551 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 3 - Forks: 1

spatstat/spatstat.linnet

Sub-package of spatstat containing code for linear networks

Language: R - Size: 927 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 6 - Forks: 2

ikostrikov/pytorch-flows

PyTorch implementations of algorithms for density estimation

Language: Python - Size: 52.7 KB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 585 - Forks: 74

probabilists/zuko

Normalizing flows in PyTorch

Language: Python - Size: 412 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 385 - Forks: 29

DIYer22/distribution_playground

2D Probability Distribution "Playground" for Generative Models.

Language: Python - Size: 55.7 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

settylab/Mellon

Non-parametric density inference for single-cell analysis.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 71 - Forks: 4

tersekmatija/lwcc

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 56 - Forks: 9

bayesiains/nflows

Normalizing flows in PyTorch

Language: Python - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 919 - Forks: 131

chen-hao-chao/ebflow

[NeurIPS 2023] Training Energy-Based Normalizing Flow with Score-Matching Objectives

Language: Python - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

ermongroup/sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

Language: Python - Size: 8.73 MB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 147 - Forks: 23

jobovy/extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

Language: Python - Size: 718 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 79 - Forks: 24

ksanjeevan/randomforest-density-python

Random Forests for Density Estimation in Python

Language: Python - Size: 920 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 7

mlr-org/mlr3proba

Probabilistic Learning for mlr3

Language: R - Size: 23.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 137 - Forks: 21

aravindsrinivas/flowpp

Code for reproducing Flow ++ experiments

Language: Python - Size: 103 KB - Last synced at: 5 days ago - Pushed at: about 6 years ago - Stars: 189 - Forks: 28

sbi-dev/pyknos

Conditional density estimation with neural networks

Language: Python - Size: 106 KB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 31 - Forks: 6

paulbrodersen/entropy_estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

Language: Python - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 140 - Forks: 28

joshday/AverageShiftedHistograms.jl

⚡ Lightning fast density estimation in Julia ⚡

Language: Julia - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 76 - Forks: 10

hamiltoncj/qgis-densityanalysis-plugin

QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.

Language: Python - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

clberube/pydlc

Simplified Python implementation of the Density Line Chart by Moritz & Fisher.

Language: Python - Size: 849 KB - Last synced at: 21 days ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 4

franciscovillaescusa/Pylians3

Libraries to analyze numerical simulations (python3)

Language: Cython - Size: 1.39 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 64 - Forks: 35

kimmo1019/Roundtrip

Roundtrip: density estimation with deep generative neural networks

Language: Python - Size: 2.27 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 61 - Forks: 14

MurrayEfford/SECRbook

Updated version

Language: TeX - Size: 126 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MargaritaLiarou1/TimeFlow

TimeFlow: a density-driven pseudotime method for flow cytometry data analysis.

Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

minaskar/sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

Language: Python - Size: 304 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 0

romunov/secr_resources

Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.

Size: 522 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

senya-ashukha/real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 138 - Forks: 27

panlanfeng/KernelEstimator.jl

The julia package for nonparametric density estimate and regression

Language: Julia - Size: 650 KB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 6

majsylw/microbial-counting-review

A list of useful resources in the microbial colony classification and detection, such as datasets, papers, links to projects

Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

davidnabergoj/torchflows

Modern normalizing flows in Python. Simple to use and easily extensible.

Language: Python - Size: 1.04 MB - Last synced at: 11 days ago - Pushed at: 21 days ago - Stars: 11 - Forks: 2

JonasMoss/kdensity

An R package for kernel density estimation with parametric starts and asymmetric kernels.

Language: R - Size: 1.37 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4

nhejazi/haldensify

:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

Language: R - Size: 5.26 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 18 - Forks: 6

L0SG/NanoFlow

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

Language: Python - Size: 1.61 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 65 - Forks: 4

d3group/dddex

The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density

Language: Jupyter Notebook - Size: 43.3 MB - Last synced at: 28 days ago - Pushed at: 9 months ago - Stars: 9 - Forks: 1

nicola-decao/BNAF

Pytorch implementation of Block Neural Autoregressive Flow

Language: Python - Size: 219 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 178 - Forks: 34

NJurquet/racool

Software for ESP32-S3 based PCB to estimate human density with temperature, CO2, antenna sensors.

Language: C++ - Size: 9.77 KB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ratwolfzero/hopalong_python

Generative Density Approximation for Deterministic Point Patterns: The Hopalong Attractor

Language: Python - Size: 9.34 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mohsensadr/OCD

A python implementation of orthogonal coupling dynamics for optimal transport problem

Language: Python - Size: 2.67 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sqyu/genscore

Generalized Score Matching

Language: R - Size: 3.04 MB - Last synced at: 19 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2

LukasRinder/normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

Language: Jupyter Notebook - Size: 6.45 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 146 - Forks: 37

andyhouldcroft/Campbells

This repository contains code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).

Language: R - Size: 40 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

intel/rho-diffusion

Parameterizing n-dimensional density fields using denoising diffusion probabilistic models

Language: Python - Size: 207 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 8 - Forks: 2

thee-smarty/Camouflage-Military-Soldier-Density-Estimation

A Deep Learning Model for Density Calculation of Camouflage Military Soldier using YOLO V8

Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

johannbrehmer/manifold-flow

Manifold-learning flows (ℳ-flows)

Language: Jupyter Notebook - Size: 639 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 229 - Forks: 27

MaximeVandegar/Normalizing-Flows

A repository to learn about Flows, mostly from papers

Size: 5.08 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 20 - Forks: 3

parham1998/Kernel-Density-Estimation

Implementation of Kernel-Density-Estimation (KDE) with Matlab

Language: MATLAB - Size: 668 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

ermongroup/HyperSPN

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

Language: Python - Size: 17.6 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2

JuliaML/DensityRatioEstimation.jl

Density ratio estimation in Julia

Language: Julia - Size: 4.08 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 34 - Forks: 3

KingShark1/skill-embedding-design-space

Creating a design space for low level controller to create skill embeddings for physically simulated characters.

Language: Python - Size: 12.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

miskcoo/kscore

Nonparametric Score Estimators, ICML 2020

Language: Python - Size: 203 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 36 - Forks: 2

dirmeier/surjectors

Surjection layers for density estimation with normalizing flows

Language: Python - Size: 458 KB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

ermongroup/mintnet

MintNet: Building Invertible Neural Networks with Masked Convolutions

Language: Python - Size: 4.35 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 8

upc-ghs/gpkde

Fortran Code for Grid Projected Kernel Density Estimation From Multidimensional Particle Distributions

Language: Fortran - Size: 58 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

TommasoTarchi/My_UL_library

My personal implementation of several unsupervised learning algorithms.

Language: Python - Size: 3.17 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vcoscrato/ktest

R interface for estimated kernel densities comparisons

Language: R - Size: 273 KB - Last synced at: 10 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

alexandreday/fast_density_clustering

Fast local density clustering for low-dimensional data

Language: Python - Size: 55.9 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 7

MehdiJmlkh/Machine-Learning-Course-Homeworks-S2024

Machine Learning course, Spring 2024, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani

Language: Jupyter Notebook - Size: 46.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

anhdanggit/non-parametric-econometrics

This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations

Language: R - Size: 1.58 MB - Last synced at: 11 months ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 8

lupalab/ace

Official code for the paper "Arbitrary Conditional Distributions with Energy".

Language: Python - Size: 78.1 KB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 2

atecon/fdensity

Factorized kernel density (code originally written by Riccardo "Jack" Lucchetti)

Language: Python - Size: 104 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hidiryuzuguzel/Machine-Learning-Examples

Language: Jupyter Notebook - Size: 917 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

Victorletzelter/VoronoiWTA

Official code of the ICML24 paper: "Winner-takes-all learners are geometry-aware conditional density estimators"

Language: Python - Size: 17.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

cbanerji/Density-estimators

Collection of classical density estimators e.g. mixture models, kernel density estimator etc.

Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

zhihanyang2022/normalizing-flows-pytorch

Demo PyTorch code for "Variational Inference with Normalizing Flows" (ICML 2015)

Language: Jupyter Notebook - Size: 206 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

edwarddramirez/wavelet-density-estimation

1D Density Estimation with the Haar Wavelet. Application is to separate point sources from a background distribution.

Language: Jupyter Notebook - Size: 729 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mbjoseph/scr-stan

Spatial capture-recapture models in Stan

Language: Stan - Size: 261 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 22 - Forks: 0

AWehenkel/Normalizing-Flows

This repository offers an implementation of some common architectures for normalizing flows.

Language: Jupyter Notebook - Size: 979 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2

arranger1044/DEBD

A collection of commonly used datasets as benchmarks for density estimation in MaLe

Language: Python - Size: 21 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 9

kashefy/mi2notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin

Language: TeX - Size: 27.8 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 4

olgakuznetsova/LogconcaveGraphical

Code for the arXiv preprint:2206.05227

Language: R - Size: 986 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

manoharpalanisamy/Machine-Learning

It consists of base machine learning algorithms and applied mathematics has Involved

Language: HTML - Size: 255 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

CS-He/torchKRnet

This is an unofficial implementation of the KRnet with Pytorch, which Tensorflow originally implemented.

Language: Python - Size: 163 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

oelin/density-estimation

Literature on density estimation.

Size: 132 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

taldatech/soft-intro-vae-pytorch

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 185 - Forks: 28

NREL/Phase-space-sampling

Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space

Language: Python - Size: 33.4 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 10

MarineBioAcousticsRC/DE_Detector

Odontocete click detector for density estimation

Language: MATLAB - Size: 127 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 3

lucien1011/abc-ml-inference

My framework to perform likelihood-free inference with toy models or real-life simulation

Language: Python - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Karlmyh/NNDensity

Implementation of Nearest Neighbor Based Density Estimation

Language: Python - Size: 24.2 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 0

rachel-mc/densr

Overlay density estimates to histograms

Language: R - Size: 73.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2

arcaravaggi/remBoot

R package for Random Encounter Modelling

Language: R - Size: 464 KB - Last synced at: 8 days ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 4

alessimichele/Unsupervised-Learning-2023 Fork of ilariavascotto/Unsupervised-Learning-2023

This repository is dedicated to the lab activities of the course of Unsupervised Learning @UniTs

Language: Jupyter Notebook - Size: 82.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SPRstat/Density-Estimation-R-Package-

This package is the result of my course project on density estimation.

Language: R - Size: 84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rom1mouret/anoflows

Density Estimation and Anomaly Detection with Normalizing Flows

Language: Python - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

FranxYao/Gumbel-CRF

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Language: Python - Size: 24.3 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 9

azureblue/cec

Cross-Entropy Clustering R Package

Language: C++ - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 3

WillCheung2016/From_CDF_to_PDF

A Density Estimation Method for High Dimensional Data

Language: MATLAB - Size: 344 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

IPL-UV/rbig_jax

Iterative and Parametric Gaussianization with JAX.

Language: Jupyter Notebook - Size: 111 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

shounakch/NN-DM

Implements the Nearest Neighbor Dirichlet Mixture (NN-DM) algorithm for embarrassingly parallel pseudo-Bayesian density estimation.

Language: C++ - Size: 105 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

Language: Python - Size: 54.4 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 3

zhihanyang2022/gradient-gmm

Finite mixture of full-rank Gaussians for density estimation & variational inference.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

dargilboa/mdma

PyTorch implementation of the Marginalizable Density Model Approximator

Language: Python - Size: 7.01 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 1

sankhaMukherjee/densityNN

Language: Jupyter Notebook - Size: 9.72 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ex4sperans/variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Language: Python - Size: 244 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 206 - Forks: 38

smsharma/jax-conditional-flows

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 3

Related Keywords
density-estimation 169 normalizing-flows 34 pytorch 27 machine-learning 20 python 15 deep-learning 15 generative-model 14 normalizing-flow 11 neural-networks 10 statistics 9 classification 9 unsupervised-learning 8 kernel-density-estimation 7 clustering 7 r 7 deep-generative-model 7 variational-inference 7 bayesian-inference 6 variational-autoencoder 6 generative-models 6 pca 6 data-science 5 gaussian-mixture-models 5 neural-network 5 matlab 5 gaussian-processes 4 optimization 4 energy-based-model 4 tensorflow 4 nonparametric-statistics 4 likelihood-free-inference 4 kernel 4 score-matching 3 machine-learning-algorithms 3 c 3 probability-distribution 3 learned-database 3 cardinality-estimation 3 python3 3 gradient-estimator 3 gan 3 tensorflow2 3 sampling 3 nearest-neighbors 3 autoregressive 3 adaboost 3 arbitrary-conditioning 3 r-package 3 simulation-based-inference 3 bayesian 2 logistic-regression 2 probabilistic-models 2 autoregressive-neural-networks 2 bispectrum 2 neural-ode 2 self-supervised-learning 2 cython 2 motion-planning 2 power-spectrum 2 collision-avoidance 2 imputation 2 causal-inference 2 non-parametric 2 nonparametrics 2 numpy 2 nonparametric-regression 2 kernel-density 2 ecology 2 autonomous-vehicles 2 linear-regression 2 jax 2 information-theory 2 uncertainty-quantification 2 voronoi-tessellation 2 bayesian-statistics 2 anomaly-detection 2 stan 2 probabilistic-graphical-models 2 tractable-models 2 hmm 2 kde 2 kernel-pca 2 mixture-model 2 pdf 2 gradient-descent 2 regression 2 vae 2 quantization 2 bayes-classifier 2 graphical-models 2 animal-densities 2 masked-autoencoder 2 query-optimization 2 learned-database-components 2 artificial-intelligence 2 manifold-learning 2 pattern-recognition 2 hypothesis-testing 2 sklearn 2 clustering-algorithm 2