kazukiosawa / asdlLinks
ASDL: Automatic Second-order Differentiation Library for PyTorch
☆188Updated 8 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
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated last week
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- Distributed K-FAC preconditioner for PyTorch☆89Updated last week
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- ☆214Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆137Updated 2 months ago
- Large-scale, multi-GPU capable, kernel solver☆190Updated last month
- ☆233Updated 6 months ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes …☆245Updated 4 years ago
- JMP is a Mixed Precision library for JAX.☆208Updated 6 months ago
- Efficient PyTorch Hessian eigendecomposition tools!☆376Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- ☆100Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Create animations for the optimization trajectory of neural nets☆158Updated last year
- ☆170Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated 11 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 4 months ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆282Updated last month
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- ☆158Updated last year
- Sketched matrix decompositions for PyTorch☆70Updated 2 weeks ago