Alternatives and similar repositories for pyOMT

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

• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆110Updated this week
• fwilliams / scalable-pytorch-sinkhorn
  ☆169Updated 3 years ago
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆84Updated 4 years ago
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆70Updated 2 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆210Updated 3 years ago
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• judelo / gmmot
  Python notebooks for Optimal Transport between Gaussian Mixture Models
  ☆47Updated 4 years ago
• kilianFatras / awesome-optimal-transport
  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…
  ☆245Updated 4 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆58Updated 3 years ago
• hieuristic / Tutorial_4
  A Tutorial for Diffusion Models
  ☆61Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆119Updated 2 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆105Updated 5 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆150Updated 6 years ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆39Updated 4 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆88Updated 3 years ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆142Updated last year
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆57Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆55Updated 4 years ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆150Updated last year
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 5 years ago
• computational-imaging / GraphPDE
  ☆55Updated 3 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆74Updated 2 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆449Updated 7 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆132Updated 2 years ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆225Updated 2 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆116Updated 6 years ago
• neuraloperator / DSNO
  ☆33Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago