Alternatives and similar repositories for Legendre-decomposition

Users that are interested in Legendre-decomposition are comparing it to the libraries listed below

• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• Bihaqo / TT-MRF
  ☆14Updated 10 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 9 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 5 years ago
• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• andre-martins / AD3
  Alternating Directions Dual Decomposition
  ☆69Updated 5 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 6 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• zihangdai / reexamine-srnn
  ☆12Updated 5 years ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆38Updated 8 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 5 years ago
• google-research / autoconj
  Recognizing and exploiting conjugacy without a domain-specific language
  ☆36Updated 5 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 5 years ago
• ppletscher / BCFWstruct
  Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
  ☆26Updated 12 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• duvenaud / herding-paper
  Optimally-weighted herding is Bayesian Quadrature
  ☆16Updated 9 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆60Updated 4 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago