Alternatives and similar repositories for Rank-N-Contrast

Users that are interested in Rank-N-Contrast are comparing it to the libraries listed below

• XzwHan / CARD
  Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
  ☆227Updated 2 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆50Updated 2 years ago
• pliang279 / FactorCL
  [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  ☆67Updated last year
• lucidrains / bidirectional-cross-attention
  A simple cross attention that updates both the source and target in one step
  ☆171Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆48Updated last year
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆44Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• ganmodokix / gwae
  PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
  ☆43Updated 2 years ago
• pliang279 / PID
  [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions
  ☆75Updated 7 months ago
• isjakewong / InfoDiffusion
  InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  ☆28Updated 2 months ago
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆49Updated 11 months ago
• aaronhan223 / FuseMoE
  Implementation of FuseMoE for FlexiModal Fusion, NeurIPS'24
  ☆22Updated 2 months ago
• epalu / mmvaeplus
  ☆17Updated 10 months ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆43Updated last year
• ratschlab / ncl
  Code of the paper "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"
  ☆24Updated 2 years ago
• LAMDA-Tabular / CHARMS
  The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"
  ☆18Updated 2 months ago
• maxxu05 / rebar
  Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)
  ☆29Updated last year
• suinleelab / vit-shapley
  ☆33Updated 10 months ago
• ucals / cvae
  ☆70Updated 2 years ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆50Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆96Updated last year
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆55Updated 10 months ago
• connorlee77 / pytorch-mutual-information
  Mutual Information in Pytorch
  ☆112Updated last year
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆19Updated 3 years ago
• needylove / OrdinalEntropy
  The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
  ☆51Updated last year
• JonathanCrabbe / FourierDiffusion
  This repository implements time series diffusion in the frequency domain.
  ☆47Updated 3 months ago
• miguelsvasco / gmc
  Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)
  ☆28Updated 5 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆58Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆119Updated last year
• deep-real / SMIL
  Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)
  ☆108Updated 2 years ago