Alternatives and similar repositories for CGD

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

• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆140Updated 6 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆113Updated 5 years ago
• gknilsen / pyhessian
  pyhessian is a TensorFlow module which can be used to estimate Hessian matrices
  ☆24Updated 4 years ago
• prolearner / hypertorch
  ☆124Updated last year
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• google-deepmind / mc_gradients
  ☆170Updated last year
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 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
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 6 months ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 4 years ago
• gd-zhang / noisy-K-FAC
  Natural Gradient, Variational Inference
  ☆29Updated 5 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆48Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 6 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆42Updated 2 years ago
• gd-zhang / Follow-the-Ridge
  Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
  ☆19Updated 5 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 5 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆61Updated 2 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆26Updated 2 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 6 years ago
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 4 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆146Updated 2 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• rgrosse / csc2541_examples
  ☆30Updated 4 years ago
• gkdziugaite / pacbayes-opt
  Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
  ☆28Updated 4 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆115Updated 3 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆149Updated last year