orobix / fwdgradLinks
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
☆110Updated 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☆89Updated this week
- Create animations for the optimization trajectory of neural nets☆157Updated last year
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆42Updated 6 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆180Updated last week
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- ☆210Updated 2 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- ☆70Updated 8 months ago
- ☆232Updated 5 months ago
- Structured matrices for compressing neural networks☆67Updated last year
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆276Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm☆154Updated last year
- ☆67Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- ☆60Updated 5 years ago
- Collect optimizer related papers, data, repositories☆94Updated 8 months ago
- ☆65Updated 3 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
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆50Updated last year
- gradient norm penalty☆41Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- A centralized place for deep thinking code and experiments☆85Updated last year
- Rational Activation Functions - Replacing Padé Activation Units☆93Updated 4 months ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆28Updated 3 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago