michaelsdr / momentumnetLinks
Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
☆208Updated last year
Alternatives and similar repositories for momentumnet
Users that are interested in momentumnet are comparing it to the libraries listed below
Sorting:
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆235Updated 4 years ago
- Code for "Scale-Equivariant Steerable Networks"☆71Updated 5 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 2 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆48Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- ☆100Updated 3 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated 3 months ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- ☆47Updated 2 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- ☆47Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆194Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- ☆28Updated 3 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- ☆133Updated 4 years ago
- Differentiable Sorting Networks☆117Updated 2 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆217Updated 4 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆147Updated last year