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density-estimation

Here are 84 public repositories matching this topic...

ikostrikov / pytorch-flows

Star

PyTorch implementations of algorithms for density estimation

deep-learning pytorch neural-networks density-estimation probabilities

Updated Dec 24, 2019
Python

bayesiains / nflows

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Normalizing flows in PyTorch

density-estimation normalizing-flows

Updated Oct 28, 2020
Python

ex4sperans / variational-inference-with-normalizing-flows

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

python machine-learning pytorch variational-inference density-estimation normalizing-flows

Updated Sep 3, 2018
Python

johannbrehmer / manifold-flow

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Manifold-learning flows (ℳ-flows)

manifold-learning density-estimation normalizing-flows notagan

Updated Oct 12, 2020
Jupyter Notebook

nicola-decao / BNAF

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Pytorch implementation of Block Neural Autoregressive Flow

neural-networks density-estimation normalizing-flows variational-autoencoder

Updated Oct 23, 2020
Python

aravindsrinivas / flowpp

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Code for reproducing Flow ++ experiments

deep-learning tensorflow neural-networks density-estimation normalizing-flows generative-models

Updated Apr 27, 2019
Python

senya-ashukha / real-nvp-pytorch

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Real NVP PyTorch a Minimal Working Example

deep-learning pytorch density-estimation real-nvp

Updated Nov 6, 2020
Jupyter Notebook

jobovy / extreme-deconvolution

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

python c machine-learning uncertainty gaussian-mixture-models density-estimation

Updated Oct 15, 2019
Python

janosh / awesome-normalizing-flows

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A list of awesome resources on normalizing flows.

machine-learning autoregressive variational-inference density-estimation normalizing-flows bayesian-neural-networks generative-modeling

Updated Oct 25, 2020

mackelab / delfi

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Density estimation likelihood-free inference

machine-learning neural-networks abc bayesian-inference density-estimation likelihood-free simulation-based-inference

Updated Jul 3, 2020
Python

CarsonScott / Online-Category-Learning

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ML algorithm for real-time classification

machine-learning algorithm optimization artificial-intelligence classification unsupervised-learning density-estimation online-learning online-algorithms classification-algorithm category-learning density-area

Updated Jul 21, 2017
Python

LukasRinder / normalizing-flows

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

deep-learning density-estimation normalizing-flows generative-models

Updated Jan 30, 2020
Jupyter Notebook

TrentBrick / PyTorchDiscreteFlows

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Discrete Normalizing Flows implemented in PyTorch

deep-learning pytorch density-estimation normalizing-flows pytorch-implementation discrete-flows

Updated Aug 4, 2020
Jupyter Notebook

joshday / AverageShiftedHistograms.jl

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ASH density estimation in pure Julia

big-data julia density-estimation online-algorithms kernel-density-estimation

Updated Oct 30, 2020
Julia

mlr3proba

mlr-org / mlr3proba

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Open

(wish)list of probabilistic regressors to implement or to interface

9

fkiraly commented Oct 31, 2019

A wishlist for probabilistic regression methods to implement or interface.
Number of stars at the end is estimated difficulty or time investment.

GLM

generalized linear model(s) with regression link, e.g., Gaussian *
generalized linear model(s) with count link, e.g., Poisson *
heteroscedastic linear regression ***
Bayesian GLM where conjugate priors are available, e

Read more

Priority: Low Status: On Hold Type: Enhancement good first issue

naru-project / naru

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Neural Relation Understanding: neural cardinality estimators for tabular data

transformers generative-model learned-database query-optimization unsupervised-learning cardinality-estimation density-estimation autoregressive-neural-networks self-supervised-learning deep-generative-model learned-database-components

Updated Jan 21, 2020
Python

gradientpm / gvpm

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Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018

plane beam global-illumination point jacobian photon-mapping mitsuba density-estimation path-tracing poisson-reconstruction gradient-rendering shift-mapping

Updated Sep 8, 2020
C++

DakshIdnani / pytorch-nice

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Implementation of non-linear independent components estimation (NICE) in pytorch

deep-learning pytorch neural-networks density-estimation normalizing-flows generative-models

Updated May 23, 2020
Python

cfinlay / ffjord-rnode

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Regularized Neural ODEs (RNODE)

generative-model density-estimation normalizing-flow neural-ode

Updated May 21, 2020
Python

FranxYao / Gumbel-CRF

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

crf text-generation generative-model density-estimation structured-prediction paraphrase-generation deep-generative-model gradient-estimator data-to-text

Updated Nov 6, 2020
Python

miskcoo / kscore

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Nonparametric Score Estimators, ICML 2020

machine-learning statistics density-estimation gradient-estimator

Updated Jun 28, 2020
Python

franciscovillaescusa / Pylians

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Libraries to analyze numerical simulations

python c simulation cython density-estimation power-spectrum nbody-simulation 21cm bispectrum

Updated Dec 23, 2019
Python

panlanfeng / KernelEstimator.jl

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The julia package for nonparametric density estimate and regression

nonparametrics density-estimation nonparametric-regression kernel-density

Updated Oct 3, 2018
Julia

ksanjeevan / randomforest-density-python

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Random Forests for Density Estimation in Python

random-forest density-estimation kernel-density-estimation

Updated Jul 16, 2018
Python

gokselgoktas / structured-volume-sampling

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A clean room implementation of Structured Volume Sampling by Bowles and Zimmermann in Unity

unity optimization graphics-programming noise volume-rendering density-estimation ray-marching

Updated Jan 24, 2017
C#

azraelzhor / tf-invertible-resnet

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A TensorFlow implementation of Invertible Residual Networks

tensorflow density-estimation normalizing-flows generative-models invertible-residual-networks

Updated Mar 12, 2020
Python

tansey / sdp

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Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

deep-learning tensorflow machine-learning-algorithms probability-distribution density-estimation tensorflow-models

Updated Apr 19, 2017
Python

franciscovillaescusa / Pylians3

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Libraries to analyze numerical simulations (python3)

visualization c cython python3 simulations hydrodynamics density-estimation correlation-functions power-spectrum n-body bispectrum voids

Updated Sep 18, 2020
Python

scr-stan

mbjoseph / scr-stan

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Spatial capture-recapture models in Stan

r spatial stan ecology density-estimation bayesian-statistics data-augmentation capture-recapture

Updated May 17, 2020
Stan

arranger1044 / DEBD

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

benchmark dataset probabilistic-graphical-models density-estimation tractable-models

Updated Jul 15, 2019
Python

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