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:
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆84Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- ☆36Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆49Updated 4 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 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆50Updated last year
- ☆47Updated 5 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆41Updated 6 years ago
- Fast Discounted Cumulative Sums in PyTorch☆96Updated 3 years ago
- Pytorch library for factorized L0-based pruning.☆45Updated last year
- PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes☆55Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 11 months ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago