mackelab/delfi 📦

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

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siihwanpark/Real-NVP

PyTorch Implementation of the paper 'Density Estimation Using Real NVP' (ICLR 2017)

Language: Python - Size: 779 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

suren-rathnayake/EMMIX

EMMIX fits the data into the specified multivariate mixture models via the EM Algorithm.

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bghojogh/Density-Based-Classifiers

The code of GMM and MAF classifiers

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MalekYaich/Density-estimation-

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.

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IPL-UV/rbig

Rotation-Based Iterative Gaussianization algorithm.

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bumstema/disLocate

Mathematica package of Visualization Tools to Classify 2D Ordering

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petroniocandido/nde_tsc

Neural Density Estimation for Time Series Classification

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

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

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vahidzee/torchde

PyTorch wrapper for Deep Density Estimation Models

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EslamAsHhraf/Neural-Network-Labs

🤖 My solutions to practice labs in Neural Network labs in Computer engineer department at Cairo University

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gholomia/Patterns

Statistical Pattern Recognition coursework and assignments under the supervision of Prof. Mohamad Rahmati.

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keyber/ARF

Implémentation des algorithmes simples de Data Science

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ArashVahabpour/SOG

Self-Organizing Generator

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virginiademi/GP4GW

This repository contains a new density estimator constructed with Gaussian Processes. This tool has been designed for gravitational-wave applications but can be used for any density surface.

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NeuralClassifier/CORE-SG

Core Spanning Graph published in ICDE 2022

Language: Python - Size: 14.5 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ShrayanRoy/bwNew

A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.

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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

givens/density_estimation Fork of shimazaki/density_estimation

density_estimation

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ericstrobl/DDR

Dirac Delta Regression

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DakshIdnani/pytorch-nice

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

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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

mackelab/nflows Fork of bayesiains/nflows

Normalizing flows in PyTorch

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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

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

lupalab/posterior-matching

Official code for the NeurIPS 2022 paper "Posterior Matching for Arbitrary Conditioning".

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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

naru-project/naru

Neural Relation Understanding: neural cardinality estimators for tabular data

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TrentBrick/PyTorchDiscreteFlows

Discrete Normalizing Flows implemented in PyTorch

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CarsonScott/Online-Category-Learning

ML algorithm for real-time classification

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H00N24/INF367-weekly-exercises 📦

INF367 Selected Topics in Artificial Intelligence: weekly exercises

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paulcbogdan/NFL_DensOrd

Model for projecting non-parametric NFL player performances from ordinal data

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e-hulten/planar-flows

PyTorch implementation of planar flows

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gokselgoktas/structured-volume-sampling

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

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merlresearch/kscore

PyTorch reimplementation of code from "Nonparametric Score Estimators" (Yuhao Zhou, Jiaxin Shi, Jun Zhu. https://arxiv.org/abs/2005.10099)

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tsuchiya-lab/dsdp

R Package for Density Estimation with Semidefinite Programming

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LauraLue/density_MP

Updated version can be found at https://github.com/MIT-REALM/density_planner

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joocxi/tf-invertible-resnet

A TensorFlow implementation of Invertible Residual Networks

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e-hulten/made

PyTorch implementation of MADE

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ParthLa/Probability-Density-Estimator

Implemented Kernel Density Estimation

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ShaunMcDonald1021/FRODO

Code and Documentation for Functional Regression on Densities of Observations (FRODO)

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ShaunMcDonald1021/density_UQ_review_paper

Code and documentation from density UQ review paper.

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e-hulten/real-nvp-2d

PyTorch implementation of Real NVP for density estimation

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lliutianc/gan-flow

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cbaldassari/gmm_init

This repository contains the code to reproduce all the results reported in the paper Unsupervised EM Initialization for Mixture Models: A Complex Network Driven Approach for Modeling Financial Time Series.

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JosephKBS/21fall_statcomp

course sub-material for statistical computing class (2021 Fall)

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rystrauss/deformer

A JAX implementation of DEformer for arbitrary conditioning.

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christiando/SGPD_Inference

Libary for SGPD (Sigmoidal Gaussian Process Density) inference

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fangyuan-ksgk/Normalizing-Flows

This repository contains examples of simple implementation of NF. Normalizing Flows are generative models which produce tractable distributions where both sampling and density evaluation can be efficient and exact.

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nicoladimauro/cnet

Cutset networks implementation in C++

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aashrafh/CMP450

Solution of Pattern Recognition (CMP450) labs

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borealbirds/GNM

Generalized National Models

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k--chow/NICE-flow-keras

Implementation of NICE (Non-linear Independent Components Estimation) in TF Keras

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YukiYasuda2718/normalizing-flows

Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9

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joaoaleite/MLAlgorithms

Implementation of some Machine Learning algorithms.

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tayebiarasteh/Unsupervised_PatternAnalysis

Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests

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sverdoot/density-estimation-unknown-submanifold

Implementation of the method for Density Estimation on an Unknown Submanifold from the paper https://arxiv.org/pdf/1910.08477.pdf

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Sidl419/coursework3

Курсовая работа на тему статистического анализа транспортной сети.

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tansey/sdp

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Language: Python - Size: 3.39 MB - Last synced at: 19 days ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 3

kcucchi/maxEntropy

estimate density from samples of population using maximum entropy approach

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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

alvincjk/sampling-manifold-restricted-gaussians

Sampling from manifold-restricted Gaussians.

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vineeths96/Bayes-classifier-and-Nearest-Neighbour-classifier

In this repository, we will explore and compare different methods of classifiers such as Bayes classifier and Nearest Neighbour classifier.

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AlexanderMath/itf

Library for Normalizing Flow in TensorFlow 2.0.

Language: Python - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

nasa-jpl-memex/wisdom

General anomaly detection system with interface

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mackelab/nflows-nofork

Normalizing flows in PyTorch

Language: Python - Size: 743 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

francois-drielsma/synapse

Synergistic Analysis of Phase Space Evolution

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randommm/npcompare

Python package for nonparametric methods for density estimation and comparison https://doi.org/10.1080/03610918.2018.1484480

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jppgks/shenanigan

Toy notebooks as research preparation into generative adversarial networks

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