xuzhiqin1990 / F-Principle

Related projects ⓘ

Alternatives and complementary repositories for F-Principle

• xuzhiqin1990 / mscalednn
  ☆17Updated 4 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆104Updated 5 years ago
• yantijin / dynamic-systems-DL
  Collection of resources that combine dynamic systems, control with deep learning.
  ☆24Updated 3 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆34Updated 2 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 2 years ago
• lonestar686 / AdaptiveFourierNeuralOperator
  ☆25Updated 2 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆20Updated 3 months ago
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆223Updated 5 months ago
• BaratiLab / PhysicsInformedTokenTransformer
  Official repository for Physics Informed Token Transformer (PITT)
  ☆15Updated 9 months ago
• ykasten / Convergence-Rate-NN-Different-Frequencies
  ☆10Updated 4 years ago
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆62Updated last year
• colehawkins / bayesian-tensor-rank-determination
  ☆12Updated 2 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆26Updated 3 years ago
• kimiandj / gsw
  ☆39Updated 4 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆62Updated 2 years ago
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆61Updated last year
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆110Updated 4 years ago
• zeke-xie / Positive-Negative-Momentum
  [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
  ☆27Updated 2 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆84Updated 4 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆56Updated 2 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆27Updated 3 years ago
• nick11roberts / XD
  ☆10Updated 2 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆91Updated 2 years ago
• k2cu8 / pyOMT
  A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
  ☆35Updated 8 months ago
• zeke-xie / artificial-neural-variability-for-deep-learning
  [Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neur…
  ☆33Updated 3 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆71Updated 2 years ago
• spite-house / Random-Fourier-Features
  Test implementation of Algorithm 1 [Random Fourier Features] from 'Random Features for Large-Scale Kernel Machines' using the code suppli…
  ☆11Updated 4 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆30Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆23Updated last year
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆113Updated 3 years ago