matejgrcic / DenseFlow

Related projects: ⓘ

• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆69Updated last year
• ChristophReich1996 / Dirac-GAN
  PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
  ☆18Updated 3 years ago
• yolu1055 / conditional-glow
  Conditional-Glow for Structured Prediction
  ☆24Updated last year
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆25Updated 2 years ago
• GongXinyuu / sngan.pytorch
  An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
  ☆45Updated last year
• achaman2 / truly_shift_invariant_cnns
  ☆63Updated 2 years ago
• Kim-Dongjun / Soft-Truncation
  A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"
  ☆49Updated 2 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆42Updated 4 months ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆79Updated 3 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆143Updated 10 months ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆83Updated 2 weeks ago
• koshian2 / swd-pytorch
  Sliced Wasserstein Distance (SWD) in PyTorch
  ☆107Updated 4 years ago
• ermongroup / alignflow
  ☆32Updated 4 years ago
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆93Updated 4 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆138Updated 4 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆101Updated 2 years ago
• benjs / DCTransformer-PyTorch
  Unofficial PyTorch implementation of the paper "Generating images with sparse representations"
  ☆36Updated 3 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆115Updated last year
• stanis-morozov / self-supervised-gan-eval
  ☆13Updated 3 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆38Updated 3 years ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated last year
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆57Updated 3 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 3 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 2 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated last year
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆110Updated 3 years ago