Alternatives and similar repositories for urnn

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

• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 6 years ago
• Roger-luo / pytorch-complex
  complex tensor plugin for pytorch (deprecated)
  ☆47Updated 6 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• ratschlab / uRNN
  Code for "Learning Unitary Operators with Help From u(n)", AAAI-17. (https://arxiv.org/abs/1607.04903)
  ☆17Updated 8 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆76Updated last year
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• j-towns / fastar
  ☆16Updated 4 months ago
• gehring / fax
  ☆80Updated 4 years ago
• pyprob / ppx
  Probabilistic Programming eXecution protocol (PPX)
  ☆75Updated 3 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆106Updated 4 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆44Updated 4 years ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 5 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• gabb7 / AReS-MaRS
  Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms
  ☆11Updated 6 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆73Updated 9 years ago
• cambridge-mlg / EinsumNetworks
  ☆54Updated 2 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• Sohl-Dickstein / Hamiltonian-Annealed-Importance-Sampling
  Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…
  ☆26Updated 11 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆17Updated 5 years ago
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆60Updated 2 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 6 years ago
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆23Updated 5 years ago
• talesa / amci
  Amortized Monte Carlo Integration
  ☆15Updated 5 years ago
• odie2630463 / Restricted-Boltzmann-Machines-in-pytorch
  RBM in Pytorch
  ☆58Updated 8 years ago