david-wb / softargmax
A differentiable argmax function for PyTorch
☆43Updated 5 years ago
Alternatives and similar repositories for softargmax:
Users that are interested in softargmax are comparing it to the libraries listed below
- ☆16Updated 3 years ago
- Official PyTorch code for the paper "Improving Fractal Pre-training"☆27Updated last year
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆87Updated 3 years ago
- Paper Reading List I have already read☆30Updated last year
- PyTorch implementation of slicing adversarial network (SAN)☆98Updated 10 months ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- Simple transformer implementations that I can understand☆20Updated 3 years ago
- PyTorch implementations of normalizing flow and its variants.☆76Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- A Disentangling Invertible Interpretation Network☆122Updated 3 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- PyTorch implementation of Soft-Argmax in 1D/2D/3D☆46Updated 5 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆99Updated 3 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆131Updated last month
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆124Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 4 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- The PyTorch implementation of Latent Video Transformer.☆99Updated 11 months ago
- Whitening for Self-Supervised Representation Learning | Official repository☆130Updated 2 years ago
- Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"☆50Updated 4 years ago
- ☆25Updated last year
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆74Updated 2 years ago
- ☆66Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆74Updated 2 years ago
- Implementation of LogAvgExp for Pytorch☆35Updated 2 weeks ago