kazukiosawa / asdlLinks
ASDL: Automatic Second-order Differentiation Library for PyTorch
☆188Updated 6 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☆146Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆587Updated 5 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 10 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated this week
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆177Updated 2 weeks ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- EigenPro Iteration in PyTorch☆20Updated last year
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆110Updated 3 years ago
- Large-scale, multi-GPU capable, kernel solver☆189Updated 11 months ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 3 months ago
- IVON optimizer for neural networks based on variational learning.☆68Updated 7 months ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- ☆214Updated 3 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆278Updated last week
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆175Updated 5 years ago
- Distributed K-FAC preconditioner for PyTorch☆87Updated 2 weeks ago
- ☆157Updated last year
- ☆157Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆204Updated 9 months ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- JMP is a Mixed Precision library for JAX.☆203Updated 4 months ago
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- ☆228Updated 4 months ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago