kazukiosawa / asdlLinks
ASDL: Automatic Second-order Differentiation Library for PyTorch
☆189Updated 9 months ago
Alternatives and similar repositories for asdl
Users that are interested in asdl are comparing it to the libraries listed below
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆180Updated this week
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated this week
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Large-scale, multi-GPU capable, kernel solver☆191Updated last month
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Distributed K-FAC preconditioner for PyTorch☆90Updated this week
- ☆214Updated 3 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆589Updated 8 months ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆279Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆138Updated 3 months ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆246Updated 5 years ago
- ☆158Updated last year
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- ☆170Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Efficient PyTorch Hessian eigendecomposition tools!☆377Updated last year
- ☆33Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated this week
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- ☆233Updated 7 months ago
- Sketched matrix decompositions for PyTorch☆70Updated last month
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago