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Density Estimation

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하위 태스크: 1
평가표: 14
보존된 평가 기록: 65

The goal of Density Estimation is to give an accurate description of the underlying probabilistic density distribution of an observable data set with unknown density.

Source: Contrastive Predictive Coding Based Feature for Automatic Speaker Verification

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/blablabananarama/ukiyoGAN

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

https://github.com/boschresearch/unscented-autoencoder

Importance Weighted Autoencoders

https://github.com/bossemel/NAF-Python3

Neural Autoregressive Flows

https://github.com/bot66/mnistdiffusion

Denoising Diffusion Probabilistic Models

https://github.com/bradyneal/causal-benchmark

Neural Autoregressive Flows

https://github.com/bradyneal/realcause

Neural Autoregressive Flows

https://github.com/bthorne93/DustVAEder

MADE: Masked Autoencoder for Distribution Estimation

https://github.com/cfinlay/ffjord-rnode

How to train your neural ODE: the world of Jacobian and kinetic regularization

https://github.com/chandlersupple/Tensorflow-PixelCNN

Conditional Image Generation with PixelCNN Decoders

https://github.com/chayanchatterjee/cbc-skynet

MADE: Masked Autoencoder for Distribution Estimation

https://github.com/chayanchatterjee/gw-skylocator

MADE: Masked Autoencoder for Distribution Estimation

https://github.com/chrischute/glow

Glow: Generative Flow with Invertible 1x1 Convolutions

https://github.com/chrischute/real-nvp

Density estimation using Real NVP

https://github.com/chrvt/denoising-normalizing-flow

Density estimation on low-dimensional manifolds: an inflation-deflation approach

https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations

Denoising Diffusion Probabilistic Models

https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations/tree/main/Diffusion/DDPM

Denoising Diffusion Probabilistic Models

https://github.com/claCase/NormalizingFlow

Density estimation using Real NVP

https://github.com/claserken/SISS

Score-Based Generative Modeling through Stochastic Differential Equations

https://github.com/cloneofsimo/consistency_models

Progressive Distillation for Fast Sampling of Diffusion Models

https://github.com/clvrai/representation-learning-by-learning-to-count

Representation Learning: A Review and New Perspectives

https://github.com/crowsonkb/v-diffusion-jax

Denoising Diffusion Probabilistic Models

https://github.com/cschoeller/flomo_motion_prediction

FloMo: Tractable Motion Prediction with Normalizing Flows

https://github.com/dataflowr/notebooks/blob/master/Module18/ddpm_micro_sol.ipynb

Denoising Diffusion Probabilistic Models

https://github.com/davidshih17/ANODE

Anomaly Detection with Density Estimation

https://github.com/deepxuan/dn-dp

Progressive Distillation for Fast Sampling of Diffusion Models

https://github.com/denproc/Taming-VAEs

Importance Weighted Autoencoders

https://github.com/desreslab/invaert4cardio

Density estimation using Real NVP

https://github.com/devjake/eeg-diffusion-pytorch

Denoising Diffusion Probabilistic Models

https://github.com/dgriffiths3/pointconv-tensorflow2

PointConv: Deep Convolutional Networks on 3D Point Clouds

https://github.com/dlasecki/QaoaParamsPredictorApi

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems

https://github.com/dopplerchase/cira-diff

Denoising Diffusion Probabilistic Models

https://github.com/dzeiberg/alphamax

Nonparametric semi-supervised learning of class proportions

https://github.com/e-hulten/made

MADE: Masked Autoencoder for Distribution Estimation

https://github.com/e-hulten/maf

Masked Autoregressive Flow for Density Estimation

https://github.com/e-hulten/real-nvp-2d

Density estimation using Real NVP

https://github.com/e-hulten/real_nvp_2d

Density estimation using Real NVP

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