arobey1 / LipSDPLinks
LipSDP - Lipschitz Estimation for Neural Networks
☆69Updated 3 years ago
Alternatives and similar repositories for LipSDP
Users that are interested in LipSDP are comparing it to the libraries listed below
Sorting:
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆16Updated 2 years ago
- ☆59Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 2 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- ☆124Updated last year
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- ☆67Updated 6 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆320Updated 4 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Updated 4 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆58Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"☆24Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆145Updated 2 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆73Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago