Density Estimation
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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/malbergo/stochastic-interpolants
https://github.com/mandubian/pytorch-neural-ode
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
https://github.com/mattiasxu/VQVAE-2
https://github.com/mattiasxu/Video-VQVAE
https://github.com/maum-ai/wavegrad2
https://github.com/max-schenke/DESSCA
https://github.com/maxjcohen/diffusion-bridges
https://github.com/metachenyiyan/BreezeForest
https://github.com/mhw32/meta-inference-public
https://github.com/milmor/latent-diffusion-transformer
https://github.com/mindslab-ai/wavegrad2
https://github.com/mkachuee/DynamicFeatureAcquisition
https://github.com/ml-group-sdu/diffail
https://github.com/ml-postech/robust-evaluation-of-diffusion-based-purification
https://github.com/mszpc/denoising-diffusion-mindspore
https://github.com/mukehvier/tensorflow-prob
https://github.com/musyoku/chainer-glow
https://github.com/musyoku/generative-flow
https://github.com/nash169/learn-diffeomorphism
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
https://github.com/nbip/IWAE
https://github.com/necrashter/SaShiMi-796
https://github.com/neillu23/DiffuSE
https://github.com/neillu23/cdiffuse
https://github.com/openvinotoolkit/anomalib/tree/main/src/anomalib/models/ai_vad
https://github.com/p-hss/consistency-climate-downscaling
Score-Based Generative Modeling through Stochastic Differential Equations
https://github.com/pclucas14/pixel-cnn-pp
https://github.com/pevnak/SumProductTransform.jl
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations
https://github.com/pevnak/Unitary.jl
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations
https://github.com/pkadambi/Bootstrapped-Nonparmetrics
Empirical non-parametric estimation of the Fisher Information
https://github.com/pluskid/structural-regularity
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
https://github.com/princetonlips/mam
https://github.com/pwc-1/Paper-9/tree/main/4/iwae
https://github.com/pwc-1/Paper-9/tree/main/4/temporal-normalizing-flows
https://github.com/pwc-1/Paper-9/tree/main/7/iwae
https://github.com/quental96/learnopencv-ddpm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.