david-wb / softargmaxLinks
A differentiable argmax function for PyTorch
☆42Updated 5 years ago
Alternatives and similar repositories for softargmax
Users that are interested in softargmax are comparing it to the libraries listed below
Sorting:
- Official PyTorch code for the paper "Improving Fractal Pre-training"☆27Updated 2 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)☆216Updated 3 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 3 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- t-vMF Similarity for Regularizing Intra-Class Feature Distribution☆21Updated 4 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 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)☆145Updated 3 years ago
- Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis☆70Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆127Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- A Disentangling Invertible Interpretation Network☆122Updated 4 years ago
- Simple transformer implementations that I can understand☆20Updated 4 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆198Updated 3 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated last year
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 4 years ago
- Implementation of LogAvgExp for Pytorch☆37Updated 9 months ago
- PyTorch implementation of slicing adversarial network (SAN)☆99Updated last month
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆145Updated 10 months ago
- Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification☆135Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 5 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆196Updated 4 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆55Updated last year
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆72Updated 4 years ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆170Updated 10 months ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated last year
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆152Updated 2 years ago
- Paper Reading List I have already read☆30Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago