Alternatives and similar repositories for MLRG_DeepCurvature

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

• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆96Updated 3 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated 2 years ago
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆41Updated 4 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆66Updated 5 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 5 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated last year
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• allenai / hidden-networks
  ☆193Updated 4 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 5 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆16Updated 6 years ago
• AnonymousNIPS2019 / DeepnetHessian
  The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size
  ☆17Updated 6 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 4 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆84Updated 3 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆149Updated last year
• rgrosse / csc2541_examples
  ☆30Updated 4 years ago
• ansuini / IntrinsicDimDeep
  Code for the intrinsic dimensionality estimate of data representations
  ☆84Updated 5 years ago
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆57Updated 5 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆104Updated 5 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆131Updated 6 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆64Updated 4 years ago