lim0606 / pytorch-ardae-vae

Related projects ⓘ

Alternatives and complementary repositories for pytorch-ardae-vae

• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆47Updated 4 years ago
• wgrathwohl / VERA
  ☆62Updated 9 months ago
• taufikxu / FD-ScoreMatching
  The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching
  ☆12Updated 2 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆49Updated 3 months ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆140Updated 4 years ago
• point0bar1 / ebm-anatomy
  PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
  ☆36Updated 3 months ago
• benrhodes26 / tre_code
  ☆22Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 3 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆32Updated last year
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆82Updated last year
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• baofff / BiSM
  ☆12Updated 4 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated last year
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆14Updated 4 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆35Updated last year
• SamsungLabs / semi-supervised-NFs
  Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
  ☆28Updated 3 years ago
• HanxiSun / SteinNS
  code for Stein Neural Sampler
  ☆22Updated 6 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆61Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆69Updated 3 months ago
• vdeborto / cdsb
  ☆21Updated 2 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 3 years ago
• f-dangel / curvlinops
  scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
  ☆18Updated 2 weeks ago