artur-deluca / landscapeviz

Related projects: ⓘ

• tudor-berariu / fisher-information-matrix
  PyTorch implementation of FIM and empirical FIM
  ☆57Updated 6 years ago
• gknilsen / pyhessian
  pyhessian is a TensorFlow module which can be used to estimate Hessian matrices
  ☆23Updated 3 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆77Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 4 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆39Updated 3 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆137Updated 3 months ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆62Updated 3 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"
  ☆43Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 5 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆93Updated 4 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated last year
• bobby-he / Neural_Tangent_Kernel
  ☆65Updated 5 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆45Updated 4 years ago
• xingchenwan / MLRG_DeepCurvature
  ☆14Updated 4 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC
  Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
  ☆23Updated 3 years ago
• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆133Updated 7 months ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆44Updated 4 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆135Updated 5 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 …
  ☆61Updated 4 years ago
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆31Updated 4 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆65Updated 11 months ago
• avirmaux / lipEstimation
  ☆56Updated last year
• SahinLale / StochasticMirrorDescent
  Stochastic Mirror Descent on CIFAR-10
  ☆17Updated 5 years ago
• facebookresearch / GAN-optimization-landscape
  code to reproduce the empirical results in the research paper
  ☆36Updated 2 years ago
• KyleGoyette / nnRNN
  ☆24Updated 4 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 3 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago