Alternatives and similar repositories for GST:

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

• nshepperd / gumbel-rao-pytorch
  ☆10Updated 3 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆112Updated 3 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆131Updated 5 years ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆33Updated last year
• bobby-he / Neural_Tangent_Kernel
  ☆66Updated 6 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago
• prolearner / hypertorch
  ☆122Updated 10 months ago
• locuslab / edge-of-stability
  ☆67Updated 4 months ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• damaru2 / ntk
  NTK reading group
  ☆88Updated 5 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 8 months ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated last month
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated 6 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆74Updated 2 years ago
• alexalemi / vib_demo
  ☆89Updated 3 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆142Updated last year
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• benrhodes26 / tre_code
  ☆23Updated 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.
  ☆75Updated 8 months ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆74Updated 6 years ago
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆85Updated 5 years ago
• MichaelArbel / KWNG
  A Pytorch implementation of the KWNG estimator
  ☆14Updated 8 months ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆98Updated last year
• mccrearyd / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆56Updated 3 years ago