Alternatives and similar repositories for F-Principle

Users that are interested in F-Principle are comparing it to the libraries listed below

• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆110Updated 6 years ago
• xuzhiqin1990 / mscalednn
  ☆20Updated 4 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆38Updated 3 years ago
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆249Updated last year
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆97Updated 3 years ago
• gallego-posada / constrained_sparsity
  Official implementation for the paper "Controlled Sparsity via Constrained Optimization"
  ☆11Updated 3 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• zeke-xie / Positive-Negative-Momentum
  [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
  ☆28Updated 3 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆98Updated 5 years ago
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆64Updated 2 years ago
• yantijin / dynamic-systems-DL
  Collection of resources that combine dynamic systems, control with deep learning.
  ☆28Updated 4 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆114Updated 4 years ago
• colehawkins / bayesian-tensor-rank-determination
  ☆13Updated 3 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆26Updated 2 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago
• zeke-xie / stable-weight-decay-regularization
  [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
  ☆60Updated last year
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 3 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆81Updated 3 years ago
• kimiandj / gsw
  ☆41Updated 5 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆59Updated 11 months ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆27Updated 4 years ago
• lonestar686 / AdaptiveFourierNeuralOperator
  ☆27Updated 3 years ago
• fabiocarrara / neural-ode-features
  Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial exam…
  ☆15Updated 4 years ago
• omrijsharon / torchlex
  Complex tensor and complex functions for pytorch.
  ☆49Updated 3 years ago
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆47Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆47Updated 4 years ago
• ryanchankh / redunet_paper
  Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆60Updated 4 years ago
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆54Updated 3 years ago
• TimRoith / BregmanLearning
  Optimizing neural networks via an inverse scale space flow.
  ☆16Updated last year