davda54 / ada-hessian
Easy-to-use AdaHessian optimizer (PyTorch)
☆77Updated 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
- Structured matrices for compressing neural networks☆66Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- ☆98Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆74Updated 7 months ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆271Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆108Updated 2 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆212Updated 3 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 10 months ago
- ☆33Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆57Updated 3 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- a lightweight transformer library for PyTorch☆71Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆103Updated 3 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆94Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆103Updated last year
- ☆36Updated 3 years ago
- Create animations for the optimization trajectory of neural nets☆146Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆61Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 5 years ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 3 months ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Fast Discounted Cumulative Sums in PyTorch☆95Updated 3 years ago