Alternatives and similar repositories for difftopk

Users that are interested in difftopk are comparing it to the libraries listed below

• adrianjav / rotograd
  Official Pytorch's implementation of RotoGrad
  ☆78Updated last year
• sarthmit / Compositional-Attention
  Code to reproduce the results for Compositional Attention
  ☆60Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• sprillo / softsort
  Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.
  ☆52Updated 2 years ago
• Felix-Petersen / diffsort
  Differentiable Sorting Networks
  ☆115Updated last year
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆40Updated 2 years ago
• gregorbachmann / scaling_mlps
  ☆51Updated 11 months ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• perrying / gumbel-sinkhorn
  PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS
  ☆29Updated 5 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• juntang-zhuang / GSAM
  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
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆129Updated 2 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆77Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated 2 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆116Updated 4 years ago
• chenweize1998 / fully-hyperbolic-nn
  Code for paper Fully Hyperbolic Neural Networks
  ☆77Updated 2 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆86Updated 4 years ago
• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆79Updated last year
• team-approx-bayes / bayesian-sam
  Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
  ☆25Updated last year
• google-research / head2toe
  ☆81Updated 10 months ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆34Updated 9 months ago
• google-research / OOD-failures
  ☆24Updated 4 years ago
• rdangovs / essl
  ☆48Updated 2 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆97Updated 3 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆150Updated 2 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• microsoft / ReinMax
  Beyond Straight-Through
  ☆97Updated 2 years ago