orobix / fwdgradLinks
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
☆114Updated 2 years ago
Alternatives and similar repositories for fwdgrad
Users that are interested in fwdgrad are comparing it to the libraries listed below
Sorting:
- Distributed K-FAC preconditioner for PyTorch☆93Updated last week
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆216Updated 2 weeks ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated this week
- Create animations for the optimization trajectory of neural nets☆161Updated last year
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Updated 4 years ago
- ☆221Updated 2 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago
- ☆233Updated 10 months ago
- ☆68Updated 6 years ago
- Butterfly matrix multiplication in PyTorch☆177Updated 2 years ago
- ☆59Updated 5 years ago
- Collect optimizer related papers, data, repositories☆98Updated last year
- Rational Activation Functions - Replacing Padé Activation Units☆103Updated 9 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- ☆66Updated 4 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated 2 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.☆77Updated last year
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆46Updated 2 years ago
- ☆73Updated last year
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆36Updated 4 years ago
- Parallelizing non-linear sequential models over the sequence length☆56Updated 6 months ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆111Updated 4 years ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆61Updated 3 months ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated last year
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year