Alternatives and similar repositories for HypStructure

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

• marlin-codes / hyperbolicTransformer
  Pytorch implementation for Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space (KDD 2024)
  ☆28Updated 2 months ago
• kschwethelm / HyperbolicCV
  ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
  ☆74Updated last year
• XLearning-SCU / 2024-NeurIPS-IDC
  Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)
  ☆19Updated 11 months ago
• QingyangZhang / awesome-low-quality-multimodal-learning
  ☆52Updated 9 months ago
• XLearning-SCU / 2024-ICML-TAC
  Code for the paper "Image Clustering with External Guidance" (ICML 2024)
  ☆63Updated last year
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆46Updated last year
• jiajunsi / RCML
  Reliable Conflictive Multi-view Learning
  ☆86Updated last year
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• XLearning-SCU / 2021-CVPR-MvCLN
  PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
  ☆50Updated 3 years ago
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆138Updated 6 months ago
• ManiadisG / DivClust
  Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.
  ☆31Updated 2 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• PalAvik / hycoclip
  Code for the paper "Compositional Entailment Learning for Hyperbolic Vision-Language Models".
  ☆84Updated 4 months ago
• divelab / ATTA
  Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
  ☆23Updated 11 months ago
• fan23j / ICML2024-OT-CLIP
  Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"
  ☆17Updated last year
• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆66Updated 5 months ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆71Updated 2 years ago
• ShizheHu / TPAMI24_Awesome-Information-Bottleneck
  Papers, codes, datasets, researchers on information bottleneck
  ☆58Updated last year
• VITA-Group / ViHGNN
  [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang
  ☆58Updated 4 months ago
• Tree-Shu-Zhao / RebQ.pytorch
  This is the official code for the paper "Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaborati…
  ☆11Updated last year
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆70Updated 5 months ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆47Updated last year
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated last year
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆19Updated last month
• FlynnYe / UR-ERN
  Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024
  ☆20Updated last year
• sunyuan-cs / 2024-TKDE-RMCNC
  About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)
  ☆11Updated last year
• UNITES-Lab / Flex-MoE
  [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
  ☆66Updated 4 months ago
• QingyangZhang / QMF
  [ICML 2023] Provable Dynamic Fusion for Low-Quality Multimodal Data
  ☆112Updated 3 months ago
• Haoqing-Wang / InfoCL
  [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
  ☆69Updated 2 years ago