density-estimation | Topic | Ecosyste.ms: Repos

Topic: "density-estimation"

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 158 KB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 1,534 - Forks: 128

bayesiains/nflows

Normalizing flows in PyTorch

Language: Python - Size: 1.36 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 919 - Forks: 131

VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

Language: Python - Size: 7.44 MB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 845 - Forks: 126

ikostrikov/pytorch-flows

PyTorch implementations of algorithms for density estimation

Language: Python - Size: 52.7 KB - Last synced at: 2 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: 19 days ago - Pushed at: 19 days ago - Stars: 385 - Forks: 29

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

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

aravindsrinivas/flowpp

Code for reproducing Flow ++ experiments

Language: Python - Size: 103 KB - Last synced at: 3 days ago - Pushed at: about 6 years ago - Stars: 189 - Forks: 28

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

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

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: 26 days ago - Pushed at: over 5 years ago - Stars: 147 - Forks: 23

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

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

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

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

sissa-data-science/DADApy

Distance-based Analysis of DAta-manifolds in python

Language: Python - Size: 133 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 130 - Forks: 21

probabilists/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

Language: Python - Size: 4.09 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 130 - Forks: 13

TrentBrick/PyTorchDiscreteFlows

Discrete Normalizing Flows implemented in PyTorch

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 97 - Forks: 12

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

joshday/AverageShiftedHistograms.jl

⚡ Lightning fast density estimation in Julia ⚡

Language: Julia - Size: 10.9 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 76 - Forks: 10

naru-project/naru

Neural Relation Understanding: neural cardinality estimators for tabular data

Language: Python - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 76 - Forks: 25

settylab/Mellon

Non-parametric density inference for single-cell analysis.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 71 - Forks: 4

mackelab/delfi 📦

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

Language: Python - Size: 8.18 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 71 - Forks: 29

CarsonScott/Online-Category-Learning

ML algorithm for real-time classification

Language: Python - Size: 81.1 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 69 - Forks: 14

jstmn/ikflow

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

Language: Python - Size: 75.2 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 67 - Forks: 10

cfinlay/ffjord-rnode

Regularized Neural ODEs (RNODE)

Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 67 - Forks: 13

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

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: 24 days ago - Pushed at: about 1 year ago - Stars: 61 - Forks: 14

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

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

DakshIdnani/pytorch-nice

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

Language: Python - Size: 133 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 43 - Forks: 8

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

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

JuliaML/DensityRatioEstimation.jl

Density ratio estimation in Julia

Language: Julia - Size: 4.08 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 34 - Forks: 3

franciscovillaescusa/Pylians

Libraries to analyze numerical simulations

Language: Python - Size: 10.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 11

sbi-dev/pyknos

Conditional density estimation with neural networks

Language: Python - Size: 106 KB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 31 - Forks: 6

gokselgoktas/structured-volume-sampling

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

Language: C# - Size: 26.4 KB - Last synced at: 3 months ago - Pushed at: over 8 years ago - Stars: 31 - Forks: 3

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

robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

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

panlanfeng/KernelEstimator.jl

The julia package for nonparametric density estimate and regression

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

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: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 26 - Forks: 17

clberube/pydlc

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

Language: Python - Size: 849 KB - Last synced at: 19 days ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 4

e-hulten/planar-flows

PyTorch implementation of planar flows

Language: Jupyter Notebook - Size: 52.7 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 3

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

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

LixiangZhao98/MeTACAST

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

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

joocxi/tf-invertible-resnet

A TensorFlow implementation of Invertible Residual Networks

Language: Python - Size: 41 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 2

nhejazi/haldensify

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

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

for0nething/FACE-A-Normalizing-Flow-based-Cardinality-Estimator

A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

Language: Python - Size: 6.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 4

e-hulten/maf

PyTorch implementation of the Masked Autoregressive Flow

Language: Python - Size: 6.13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - 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

JonasMoss/kdensity

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

Language: R - Size: 1.37 MB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4

IPL-UV/rbig

Rotation-Based Iterative Gaussianization algorithm.

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 2

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

tansey/sdp

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Language: Python - Size: 3.39 MB - Last synced at: 15 days ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 3

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: 27 days ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 4

lliutianc/gan-flow

Language: Python - Size: 46.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 14 - 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

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

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

MIT-REALM/density_planner

Official code for "Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability"

Language: Python - Size: 32.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1

davidnabergoj/torchflows

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

Language: Python - Size: 1.04 MB - Last synced at: 9 days ago - Pushed at: 19 days ago - Stars: 11 - Forks: 2

azureblue/cec

Cross-Entropy Clustering R Package

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

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: 26 days ago - Pushed at: 9 months ago - Stars: 9 - Forks: 1

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

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

nasa-jpl-memex/wisdom

General anomaly detection system with interface

Language: HTML - Size: 25.2 MB - Last synced at: over 2 years ago - Pushed at: about 9 years ago - Stars: 8 - Forks: 7

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

Karlmyh/NNDensity

Implementation of Nearest Neighbor Based Density Estimation

Language: Python - Size: 24.2 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 0

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

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

alexandreday/fast_density_clustering

Fast local density clustering for low-dimensional data

Language: Python - Size: 55.9 MB - Last synced at: 14 days ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 7

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

spatstat/spatstat.linnet

Sub-package of spatstat containing code for linear networks

Language: R - Size: 927 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 6 - Forks: 2

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

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

var-skip/var-skip

Code for variable skipping ICML 2020 paper

Language: Python - Size: 102 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

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: 26 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 10

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

selmanozleyen/Distribution-Matching-with-Dilated-Networks

Implementation of the paper "Distribution Matching with Dilated Convolutions"

Language: Python - Size: 8.23 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

nicoladimauro/cnet

Cutset networks implementation in C++

Language: C++ - Size: 172 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - 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

samiemostafavi/pr3d

Delay probability density prediction using Mixture Density Networks in Tensorflow

Language: Python - Size: 551 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 3 - Forks: 1

ericstrobl/DDR

Dirac Delta Regression

Language: R - Size: 53.7 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

vahidzee/torchde

PyTorch wrapper for Deep Density Estimation Models

Language: Python - Size: 181 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

ArashVahabpour/SOG

Self-Organizing Generator

Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

arcaravaggi/remBoot

R package for Random Encounter Modelling

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

dirmeier/surjectors

Surjection layers for density estimation with normalizing flows

Language: Python - Size: 458 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

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

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

mackelab/nflows Fork of bayesiains/nflows

Normalizing flows in PyTorch

Language: Python - Size: 1.35 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0