Alternatives and similar repositories for LRS_NF:

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

• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 8 months ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• SamsungLabs / semi-supervised-NFs
  Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
  ☆28Updated 3 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆52Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• mj-will / augmented-flows
  Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101
  ☆12Updated 5 years ago
• robert-giaquinto / gradient-boosted-normalizing-flows
  We got a stew going!
  ☆27Updated last year
• taufikxu / FD-ScoreMatching
  The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching
  ☆12Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 8 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• GiulsLu / Sinkhorn-Barycenters
  Sinkhorn Barycenters via Frank-Wolfe algorithm
  ☆25Updated 5 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• AVMCMC / AuxiliaryVariationalMCMC
  Code required to reproduce the experiments in Auxiliary Variational MCMC
  ☆17Updated 6 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆57Updated 3 years ago
• maremun / swg
  Sliced Wasserstein Generator
  ☆23Updated 6 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 2 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 4 years ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 4 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• AkinoriTanaka-phys / DOT
  code submission to NeurIPS2019
  ☆13Updated last year