RobinBruegger / RevTorch
Framework for creating (partially) reversible neural networks with PyTorch
☆152Updated 2 years ago
Alternatives and similar repositories for RevTorch:
Users that are interested in RevTorch are comparing it to the libraries listed below
- A fully invertible U-Net for memory efficiency in Pytorch.☆123Updated 2 years ago
- Implementation of the reversible residual network in pytorch☆104Updated 3 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated last year
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D …☆83Updated 5 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- ☆95Updated 5 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆133Updated last month
- ☆165Updated 6 years ago
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆152Updated last year
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆258Updated 4 years ago
- Implementation of Uformer, Attention-based Unet, in Pytorch☆93Updated 3 years ago
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- Official implementation of Fixed-Point GAN - ICCV 2019☆100Updated 4 years ago
- Pytorch implementation of the image transformer for unconditional image generation☆118Updated 9 months ago
- Pytorch implementation of Learning Rate Dropout.☆42Updated 5 years ago
- ☆49Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- ☆92Updated 4 years ago
- [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…☆50Updated 3 years ago
- Image-to-image translation with flow-based generative model☆64Updated 6 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- ☆53Updated 4 years ago
- (N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch☆97Updated 4 months ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆141Updated 3 years ago
- Implementation of LogAvgExp for Pytorch☆35Updated 3 weeks ago