xingchenwan / MLRG_DeepCurvatureLinks
☆15Updated 5 years ago
Alternatives and similar repositories for MLRG_DeepCurvature
Users that are interested in MLRG_DeepCurvature are comparing it to the libraries listed below
Sorting:
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 6 years ago
- ☆157Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆127Updated last year
- ☆100Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ☆29Updated 4 years ago
- ☆67Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- ☆133Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- NTK reading group☆87Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- ☆192Updated 4 years ago
- ☆83Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- ☆34Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated last year
- ☆60Updated 2 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
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Hypergradient descent☆149Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆274Updated 2 years ago