Alternatives and similar repositories for meta-ot:

Users that are interested in meta-ot are comparing it to the libraries listed below

• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆79Updated 3 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆45Updated last year
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• minyoungg / overparam
  ☆41Updated last year
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 2 years ago
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆66Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆59Updated 2 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated last year
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 7 months ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 2 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆70Updated 2 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• liruilong940607 / NeuralODE
  The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
  ☆75Updated 4 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆50Updated 7 months ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆74Updated 7 months ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 3 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆238Updated 2 weeks ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆67Updated 2 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆60Updated 3 months ago
• CompVis / invariances
  Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks
  ☆57Updated 4 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆117Updated last year
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 3 years ago