HazyResearch / structured-netsLinks
Structured matrices for compressing neural networks
☆67Updated last year
Alternatives and similar repositories for structured-nets
Users that are interested in structured-nets are comparing it to the libraries listed below
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 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
- 👩 Pytorch and Jax code for the Madam optimiser.☆52Updated 4 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆85Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- ☆50Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆42Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Autoregressive Energy Machines☆78Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- ☆100Updated 3 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- ☆36Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago