Alternatives and similar repositories for setvae

Users that are interested in setvae are comparing it to the libraries listed below

• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆151Updated last year
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆199Updated 4 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆69Updated 2 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆162Updated 3 years ago
• ANLGBOY / SoftFlow
  PyTorch implementation of SoftFlow
  ☆58Updated 5 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆69Updated 3 years ago
• google-deepmind / functa
  ☆158Updated last year
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 5 years ago
• mlpc-ucsd / DC-VAE
  (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
  ☆40Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• christopher-beckham / hologan-pytorch
  Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326
  ☆64Updated 5 years ago
• luost26 / Equivariant-OrientedMP
  Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
  ☆29Updated 3 years ago
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 3 years ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆103Updated this week
• psh01087 / Vid-ODE
  Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
  ☆63Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆72Updated 5 years ago
• rehg-lab / lowshot-shapebias
  Learning low-shot object classification with explicit shape bias learned from point clouds
  ☆52Updated 3 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆61Updated 3 years ago
• Regenerator / dpf-nets
  Flow-based generative model for 3D point clouds.
  ☆44Updated 5 years ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 3 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆135Updated 3 years ago
• lucidrains / pi-GAN-pytorch
  Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
  ☆122Updated 4 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 3 years ago