Alternatives and similar repositories for projection-losses

Users that are interested in projection-losses are comparing it to the libraries listed below

• srush / jax-lda
  ☆30Updated 3 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• adjidieng / REM
  Reweighted Expectation Maximization
  ☆29Updated 5 years ago
• harvardnlp / hmm-lm
  ☆42Updated 4 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• google-research / autoconj
  Recognizing and exploiting conjugacy without a domain-specific language
  ☆36Updated 5 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 9 months ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• choidami / sst
  ☆49Updated 4 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆16Updated 5 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• timvieira / spanning_tree
  A reference implementation of algorithms for distributions over spanning trees.
  ☆21Updated 5 years ago
• enalisnick / paper_summaries
  Summaries and minimal implementations of ML / statistics research articles.
  ☆39Updated 4 years ago
• aboustati / vargrad
  Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
  ☆12Updated 4 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago