Alternatives and similar repositories for mma

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

• google-research / remixmatch
  ☆131Updated 3 years ago
• vikasverma1077 / ICT
  Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
  ☆148Updated 3 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆189Updated 7 years ago
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆108Updated 5 years ago
• xiangjjj / implicit_alignment
  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
  ☆91Updated 4 years ago
• Vastlab / Reducing-Network-Agnostophobia
  ☆71Updated 7 years ago
• biomedia-mira / masf
  Domain Generalization via Model-Agnostic Learning of Semantic Features
  ☆149Updated 2 years ago
• valeoai / ConfidNet
  Addressing Failure Prediction by Learning Model Confidence
  ☆173Updated 3 years ago
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆233Updated 7 years ago
• woozch / DSBN
  Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
  ☆162Updated 2 years ago
• Separius / SimCLRv2-Pytorch
  Pretrained SimCLRv2 models in Pytorch
  ☆105Updated 5 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 5 years ago
• VisionLearningGroup / DAL
  Domain agnostic learning with disentangled representations
  ☆147Updated 6 years ago
• k-han / AutoNovel
  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…
  ☆229Updated 5 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆124Updated 4 years ago
• akwasigroch / Pretext-Invariant-Representations
  Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
  ☆89Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆170Updated 3 years ago
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆117Updated 5 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆73Updated 5 years ago
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆232Updated 2 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆182Updated 5 years ago
• srebuffi / residual_adapters
  ☆171Updated 5 years ago
• VisionLearningGroup / visda-2019-public
  ☆57Updated 2 years ago
• Raymond-sci / AND
  Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
  ☆156Updated 6 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆151Updated 4 years ago
• Britefury / self-ensemble-visual-domain-adapt
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆194Updated 6 years ago
• feidfoe / learning-not-to-learn
  [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
  ☆112Updated 5 years ago
• VisionLearningGroup / SSDA_MME
  Semi-supervised Domain Adaptation via Minimax Entropy
  ☆308Updated 2 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago