Alternatives and similar repositories for merlin:

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

• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆99Updated 4 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆96Updated last year
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆74Updated 4 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 4 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• drimpossible / GDumb
  Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …
  ☆91Updated last year
• rahafaljundi / Gradient-based-Sample-Selection
  ☆71Updated 2 years ago
• khurramjaved96 / awesome-continual-learning
  A repository to keep track of literature on catastrophic forgetting
  ☆36Updated 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
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• chandar-lab / IIRC
  IIRC: Incremental Implicitly Refined Classification
  ☆30Updated 2 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆99Updated 2 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
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆39Updated 6 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆37Updated 4 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆79Updated 2 years ago
• phquang / Contextual-Transformation-Network
  ☆22Updated last year
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 4 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆54Updated 4 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 3 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆59Updated 3 years ago
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆50Updated 2 years ago
• SAP-archive / machine-learning-dgm
  Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
  ☆37Updated 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
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• bjsowa / LLDEN
  Lifelong Learning with Dynamically Expandable Networks
  ☆20Updated 6 years ago