Alternatives and similar repositories for FactorGraphs:

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

• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• kaihsin / Tor10
  A Generic Tensor-Network library that is designed for quantum simulation, base on the pytorch
  ☆60Updated 5 years ago
• jingli9111 / RUM-Tensorflow
  Rotational Unit of Memory
  ☆34Updated 6 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• MikeInnes / zygote-paper
  ☆69Updated 5 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 5 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 5 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• BrianCoyle / IsingBornMachine
  Implementation of Quantum Ising Born Machine
  ☆19Updated 4 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• gdebie / stochastic-deep-networks
  Stochastic Deep Networks
  ☆17Updated 5 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 6 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆11Updated 4 years ago
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 2 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 5 years ago
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆66Updated 4 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆48Updated 5 years ago
• keeganstoner / nn-qft
  Code used for experiments in https://arxiv.org/abs/2008.08601
  ☆19Updated 3 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• srikumarks / df
  Code for understanding automatic differentiation.
  ☆8Updated 2 years ago