Alternatives and similar repositories for IRVAE-public:

Users that are interested in IRVAE-public are comparing it to the libraries listed below

• JungbinLim / GGAE-public
  ☆14Updated 6 months ago
• Gabe-YHLee / NRAE-public
  ☆30Updated 2 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆50Updated 7 months ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 weeks ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• jihoontack / SiMT
  Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)
  ☆23Updated 2 years ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆23Updated 2 years ago
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆28Updated last year
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆47Updated 3 years ago
• hankook / CLEL
  ☆15Updated 2 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆48Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆82Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆108Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆89Updated last year
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 7 months ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 8 months ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆69Updated 8 months ago
• addtt / object-centric-library
  Library for the training and evaluation of object-centric models (ICML 2022)
  ☆68Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆77Updated 7 months ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆122Updated last year
• locuslab / JIIO-DEQ
  Efficient joint input optimization and inference with DEQ
  ☆10Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆59Updated 2 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆210Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆148Updated 2 years ago
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆66Updated 4 years ago
• jonasrothfuss / f-pacoh-torch
  ☆9Updated 3 years ago