davda54 / ada-hessianLinks
Easy-to-use AdaHessian optimizer (PyTorch)
☆79Updated 5 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.☆129Updated last year
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- ☆100Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- ☆50Updated 5 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆66Updated 5 months ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 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☆217Updated 4 years ago
- ☆47Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 4 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆281Updated 2 years ago
- ☆37Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆110Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆117Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago