Alternatives and similar repositories for contrastive-meta-learning

Users that are interested in contrastive-meta-learning are comparing it to the libraries listed below

• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆63Updated 2 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 4 years ago
• Johswald / learning_where_to_learn
  ☆39Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆55Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆60Updated 3 years ago
• awslabs / aws-cv-task2vec
  Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
  ☆124Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆18Updated 3 years ago
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆84Updated last month
• wtong98 / mlp-icl
  ☆12Updated last year
• rahimentezari / PermutationInvariance
  ☆23Updated 3 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆37Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• locuslab / edge-of-stability
  ☆73Updated last year
• grasp-lyrl / modelzoo_continual
  Model Zoos for Continual Learning (ICLR 22)
  ☆45Updated 2 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆52Updated last year
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆79Updated 3 years ago
• JmlrOrg / dmlr-style-file
  ☆12Updated 2 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• aengusl / spawrious
  ☆29Updated last year
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆170Updated 3 years ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆83Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆47Updated 2 years ago
• TrentBrick / SDMContinualLearner
  ☆20Updated 2 years ago