Alternatives and similar repositories for LNets:

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

• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆34Updated 4 years ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆68Updated last year
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆125Updated last year
• jhjacobsen / fully-invertible-revnet
  ☆31Updated 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.
  ☆75Updated 9 months ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• locuslab / projected_sinkhorn
  ☆87Updated 9 months ago
• wgrathwohl / VERA
  ☆64Updated last year
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 5 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆142Updated last year
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆112Updated 3 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• yangarbiter / robust-local-lipschitz
  A Closer Look at Accuracy vs. Robustness
  ☆88Updated 3 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 2 months ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆49Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆66Updated 6 years ago
• bneyshabur / generalization-bounds
  Computing various measures and generalization bounds on convolutional and fully connected networks
  ☆35Updated 6 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated 2 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• cfinlay / tulip
  Scaleable input gradient regularization
  ☆22Updated 5 years ago
• point0bar1 / ebm-anatomy
  PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
  ☆38Updated 9 months ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• ruqizhang / csgmcmc
  Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
  ☆92Updated 4 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆146Updated 11 months ago