Alternatives and similar repositories for GDM:

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

• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆34Updated 7 years ago
• TLESORT / Continual_Learning_Data_Former
  A pytorch compatible data loader to create sequence of tasks for Continual Learning
  ☆33Updated 4 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 4 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆104Updated 2 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆36Updated 3 years ago
• khurramjaved96 / awesome-continual-learning
  A repository to keep track of literature on catastrophic forgetting
  ☆36Updated 4 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆74Updated 4 years ago
• xujinfan / Reinforced-Continual-Learning
  code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
  ☆37Updated 5 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• mattriemer / MER
  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …
  ☆146Updated 3 years ago
• vlomonaco / core50
  CORe50: a new Dataset and Benchmark for Continual Learning
  ☆120Updated 3 years ago
• imirzadeh / stable-continual-learning
  Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
  ☆75Updated last year
• vlomonaco / ar1-pytorch
  AR1* with Latent Replay, implemented in PyTorch
  ☆30Updated 4 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆59Updated 3 years ago
• briancheung / superposition
  ☆45Updated 5 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆99Updated 6 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆107Updated 5 months ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆74Updated 3 years ago
• tyler-hayes / REMIND
  PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
  ☆82Updated last year
• morning-dews / PGMA_tensorflow
  Code for Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
  ☆21Updated 5 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• StanfordASL / moca
  ☆31Updated 2 years ago
• giangnguyen2412 / paper-review-continual-learning
  A hub for paper reviews in Continual Learning
  ☆26Updated 4 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 4 years ago