Alternatives and similar repositories for stats215

Users that are interested in stats215 are comparing it to the libraries listed below

• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆144Updated 3 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 11 months ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated 11 months ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 5 years ago
• gehring / fax
  ☆80Updated 3 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 5 years ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated 10 months ago
• henripal / sgld
  ☆59Updated 6 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 7 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆60Updated 4 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 6 years ago
• PierreBoyeau / decision-making-vaes
  ☆19Updated 3 years ago
• google-research / ott
  ☆214Updated 3 years ago
• google-deepmind / mc_gradients
  ☆169Updated 11 months ago