Alternatives and similar repositories for mn-torch:

Users that are interested in mn-torch are comparing it to the libraries listed below

• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 6 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆19Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• subhc / SPNet
  Semantic Projection Network for Zero- and Few-Label Semantic Segmentation (CVPR 2019)
  ☆52Updated 5 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated last year
• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆24Updated 2 years ago
• RoyalVane / ASM
  ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
  ☆71Updated 3 years ago
• jozhang97 / side-tuning
  sidetuning.berkeley.edu
  ☆69Updated 2 years ago
• jason718 / semi-sup
  Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20
  ☆25Updated 4 years ago
• soo89 / CSD-RFCN
  ☆31Updated 4 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• Jiaolong / self-supervised-da
  self-supervised domain adaptation
  ☆49Updated 5 years ago
• hankook / AugSelf
  ☆45Updated 3 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• emma-sjwang / EISNet
  [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
  ☆48Updated 2 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• Britefury / self-ensemble-visual-domain-adapt-photo
  Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'
  ☆74Updated 3 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 4 years ago
• mancinimassimiliano / latent_domains_DA
  Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.
  ☆23Updated 4 years ago
• xudonmao / VMT
  ☆19Updated 5 years ago
• lixingjian / DELTA
  DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229
  ☆66Updated 4 years ago
• kshitijd20 / RSA-CVPR19-release
  code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"
  ☆26Updated 2 years ago
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 4 years ago
• sagiebenaim / DomainIntersectionDifference
  Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
  ☆39Updated 4 years ago
• AlexanderBartler / MT3
  ☆17Updated 2 years ago