Alternatives and similar repositories for batch-level-distillation

Users that are interested in batch-level-distillation are comparing it to the libraries listed below

• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 6 years ago
• lit-leo / cgate
  Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"
  ☆20Updated 4 years ago
• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆24Updated 2 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 4 years ago
• juntingzh / incremental-learning-baselines
  ☆11Updated 5 years ago
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 3 years ago
• hshustc / ECCV18_Lifelong_Learning
  Lifelong Learning via Progressive Distillation and Retrospection
  ☆14Updated 6 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 4 years ago
• LTTM / IL-SemSegm
  Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
  ☆60Updated 4 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆39Updated 4 years ago
• qy-feng / Margin-Openset
  [ICCV2019] Attract or Distract: Exploit the Margin of Open Set
  ☆35Updated 4 years ago
• jozhang97 / side-tuning
  sidetuning.berkeley.edu
  ☆71Updated 2 years ago
• NVlabs / CSG
  ☆28Updated 4 years ago
• MrtnMndt / OpenVAE_ContinualLearning
  Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
  ☆63Updated 3 years ago
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆22Updated 3 years ago
• yaoyao-liu / e3bm
  PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
  ☆48Updated last year
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆98Updated last year
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• Jiaolong / self-supervised-da
  self-supervised domain adaptation
  ☆48Updated 5 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 7 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 2 years ago
• maple-research-lab / AVT-pytorch
  Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019
  ☆18Updated 5 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• ashok-arjun / CSCCT
  Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
  ☆17Updated 3 years ago