davda54 / ada-hessianLinks
Easy-to-use AdaHessian optimizer (PyTorch)
☆79Updated 4 years ago
Alternatives and similar repositories for ada-hessian
Users that are interested in ada-hessian are comparing it to the libraries listed below
Sorting:
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated last year
- Structured matrices for compressing neural networks☆67Updated last year
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- ☆100Updated 3 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- ☆47Updated 4 years ago
- ☆68Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Fast Discounted Cumulative Sums in PyTorch☆96Updated 3 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆107Updated last year
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆215Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆63Updated last year
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Layerwise Batch Entropy Regularization☆23Updated 2 years ago
- ☆37Updated 3 years ago
- A collection of optimizers, some arcane others well known, for Flax.☆29Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago