Alternatives and similar repositories for hessian-for-basicDL:

Users that are interested in hessian-for-basicDL are comparing it to the libraries listed below

• AnonymousNIPS2019 / DeepnetHessian
  The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size
  ☆17Updated 5 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆83Updated 4 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• dongyin92 / adversarially-robust-generalization
  This repo contains the code for the experiments in "Rademacher Complexity for Adversarially Robust Generalization"
  ☆9Updated 5 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆73Updated 4 years ago
• BB-UCL / Lasagne
  ☆13Updated 6 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆36Updated 2 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆17Updated 5 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆23Updated 2 years ago
• ron-amit / meta-learning-adjusting-priors2
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆18Updated 4 years ago
• KarhouTam / FedRecon
  PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning
  ☆13Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 3 years ago
• Ivan1248 / Parseval-networks
  An (imperfect) implementation of wide resnets and Parseval regularization
  ☆9Updated 5 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 5 years ago
• epfml / error-feedback-SGD
  SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
  ☆30Updated 9 months ago
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆16Updated 4 years ago
• hongliny / FedAc-NeurIPS20
  Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)
  ☆15Updated 3 years ago
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆62Updated 5 years ago
• nvedant07 / Fairness-Through-Robustness
  Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…
  ☆13Updated 4 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• BaoWangMath / LaplacianSmoothing-GradientDescent
  The code for the paper: https://arxiv.org/abs/1806.06317
  ☆24Updated 5 years ago
• andylamp / federated_pca
  Federated Principal Component Analysis Revisited!
  ☆42Updated 3 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• namkoong-lab / robustopt
  ☆42Updated 6 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆59Updated 2 years ago
• KaidiXu / ZO-minmax
  Zeroth-order Min-max Optimization
  ☆11Updated 4 years ago