cybertronai / pytorch-sso
PyTorch-SSO: Scalable Second-Order methods in PyTorch
☆145Updated last year
Alternatives and similar repositories for pytorch-sso
Users that are interested in pytorch-sso are comparing it to the libraries listed below
Sorting:
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- ☆157Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 9 months ago
- ☆33Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- ☆122Updated 11 months ago
- hessian in pytorch☆187Updated 4 years ago
- Hypergradient descent☆146Updated 11 months ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 5 months ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 4 years ago
- ☆99Updated 3 years ago
- ☆36Updated 3 years ago
- ☆241Updated 2 years ago
- NTK reading group☆88Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- ☆66Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- ☆166Updated 9 months ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 10 months ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago