davda54 / ada-hessianLinks
Easy-to-use AdaHessian optimizer (PyTorch)
β78Updated 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:
- π§ Pytorch code for the Fromage optimiser.β124Updated 10 months ago
- β99Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learningβ276Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilitiesβ209Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorchβ146Updated last year
- π© Pytorch and Jax code for the Madam optimiser.β51Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).β110Updated 3 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitableβ215Updated 4 years ago
- PadΓ© Activation Units: End-to-end Learning of Activation Functions in Deep Neural Networkβ64Updated 4 years ago
- β33Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suiteβ106Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"β180Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.β75Updated 10 months ago
- Monotone operator equilibrium networksβ52Updated 4 years ago
- Structured matrices for compressing neural networksβ66Updated last year
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification fβ¦β46Updated 5 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networksβ83Updated 3 years ago
- β123Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditionβ¦β175Updated this week
- Limitations of the Empirical Fisher Approximationβ47Updated 3 months ago
- Code for: Implicit Competitive Regularization in GANsβ114Updated 3 years ago
- a lightweight transformer library for PyTorchβ71Updated 3 years ago
- This repository is no longer maintained. Checkβ81Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distributionβ38Updated 4 years ago
- β47Updated 4 years ago
- Very deep VAEs in JAX/Flaxβ46Updated 3 years ago
- Reparameterize your PyTorch modulesβ71Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorchβ88Updated last year
- CUDA kernels for generalized matrix-multiplication in PyTorchβ82Updated 3 years ago
- β37Updated 3 years ago