facebookresearch / projUNNLinks
Fast training of unitary deep network layers from low-rank updates
☆28Updated 2 years ago
Alternatives and similar repositories for projUNN
Users that are interested in projUNN are comparing it to the libraries listed below
Sorting:
- Distributed K-FAC preconditioner for PyTorch☆89Updated last week
- ☆233Updated 6 months ago
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆189Updated 8 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- JMP is a Mixed Precision library for JAX.☆208Updated 7 months ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆111Updated 2 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
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Running Jax in PyTorch Lightning☆113Updated 8 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated this week
- If it quacks like a tensor...☆59Updated 9 months ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆56Updated last month
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆282Updated last month
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- ☆29Updated 4 years ago
- ☆70Updated 8 months ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- LoRA for arbitrary JAX models and functions☆142Updated last year
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆26Updated last year
- ☆115Updated last week
- A simple library for scaling up JAX programs☆143Updated 10 months ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- ☆26Updated 2 years ago
- Parallelizing non-linear sequential models over the sequence length☆54Updated 2 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Pytorch-like dataloaders for JAX.☆94Updated 3 months ago