Felix-Petersen / difftopkLinks
Differentiable Top-k Classification Learning
☆86Updated 2 years ago
Alternatives and similar repositories for difftopk
Users that are interested in difftopk are comparing it to the libraries listed below
Sorting:
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆56Updated last year
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.☆53Updated 2 years ago
- Differentiable Sorting Networks☆119Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for paper Fully Hyperbolic Neural Networks☆83Updated 2 years ago
- Meta Optimal Transport☆104Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆182Updated 3 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 2 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆67Updated 4 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- Official Pytorch's implementation of RotoGrad☆80Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 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)☆144Updated 3 years ago
- ☆109Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆77Updated 4 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Transformers w/o Attention, based fully on MLPs☆95Updated last year
- Code to reproduce the results for Compositional Attention☆59Updated 2 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆269Updated 4 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago