Alternatives and similar repositories for Nauka:

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

• pierrelux / rlss2017
  ☆17Updated 7 years ago
• CW-Huang / torchkit
  ☆37Updated 5 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• egrefen / splitappendix
  A simple shellscript for splitting the PDF of a paper into the main body and an appendix.
  ☆18Updated 4 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 4 years ago
• adjidieng / REM
  Reweighted Expectation Maximization
  ☆29Updated 5 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• caglar / dntm
  D-NTM paper repo
  ☆26Updated 7 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 7 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 5 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 3 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 4 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• elanmart / psmm
  ☆49Updated 6 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• glouppe / paper-avo
  Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"
  ☆16Updated 6 years ago
• alok / rl_implementations
  ☆43Updated 5 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• pemami4911 / REBAR-pytorch
  Implementation of REBAR in PyTorch
  ☆17Updated 6 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 7 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago