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:
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆189Updated 9 months ago
- Distributed K-FAC preconditioner for PyTorch☆90Updated this week
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- ☆233Updated 7 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated last year
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆113Updated 2 years ago
- Neural Networks and the Chomsky Hierarchy☆209Updated last year
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- Running Jax in PyTorch Lightning☆113Updated 9 months ago
- JMP is a Mixed Precision library for JAX.☆208Updated 7 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 weeks ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- ☆100Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆280Updated 2 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆181Updated this week
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆42Updated 6 years ago
- Unofficial JAX implementations of deep learning research papers☆156Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- If it quacks like a tensor...☆59Updated 10 months ago