Alternatives and similar repositories for MeRGAN:

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

• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 2 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆52Updated 3 years ago
• wuyuebupt / LargeScaleIncrementalLearning
  ☆71Updated 5 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• yaxingwang / Transferring-GANs
  ECCV2018
  ☆67Updated 6 years ago
• LuEE-C / FIGR
  Few-shot Image Generation with Reptile
  ☆64Updated 6 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆94Updated 5 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• mbsariyildiz / gmn-zsl
  ☆22Updated 5 years ago
• tankche1 / IDeMe-Net
  A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
  ☆49Updated 4 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• aws-samples / d-SNE
  Implementation of our proposed algorithm in domain adaptation for image classification
  ☆66Updated 5 years ago
• bethgelab / game-of-noise
  Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…
  ☆61Updated last year
• PatrickZH / End-to-End-Incremental-Learning
  Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
  ☆63Updated 6 years ago
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆35Updated 7 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 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
• fmcp / EndToEndIncrementalLearning
  End-to-End Incremental Learning
  ☆66Updated 5 years ago
• hshustc / ECCV18_Lifelong_Learning
  Lifelong Learning via Progressive Distillation and Retrospection
  ☆14Updated 6 years ago
• ChaofWang / L-GM_loss_pytorch
  Rethinking Feature Distribution for Loss Functions in Image Classification
  ☆42Updated last year
• vaibhavnaagar / pixelDA_GAN
  Domain Adaptation using GAN
  ☆66Updated 5 years ago
• YU1ut / imprinted-weights
  Code for 'Low-Shot Learning with Imprinted Weights'
  ☆69Updated 6 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆59Updated 5 years ago
• VisionLearningGroup / visda-2019-public
  ☆58Updated last year
• tylersco / adapted_deep_embeddings
  Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"
  ☆27Updated 2 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago