Alternatives and similar repositories for less-forgetful-nns

Users that are interested in less-forgetful-nns are comparing it to the libraries listed below

• stokesj / EWC
  TensorFlow implementation of Elastic Weight Consolidation
  ☆75Updated 7 years ago
• yashkant / Elastic-Weight-Consolidation
  This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
  ☆60Updated 7 years ago
• facebookresearch / agem
  Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
  ☆204Updated 3 years ago
• spiglerg / pyMeta
  Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…
  ☆48Updated 3 years ago
• mattriemer / MER
  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …
  ☆146Updated 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…
  ☆105Updated 2 years ago
• lshug / Continual-Keras
  Keras-based framework for implementing continual learning methods.
  ☆9Updated 5 years ago
• xujinfan / Reinforced-Continual-Learning
  code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
  ☆38Updated 6 years ago
• hereismari / tensorflow-maml
  TensorFlow 2.0 implementation of MAML.
  ☆83Updated 5 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆142Updated 4 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 5 years ago
• gabrielhuang / reptile-pytorch
  A PyTorch implementation of OpenAI's REPTILE algorithm
  ☆218Updated 5 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆189Updated 6 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆107Updated 9 months ago
• shivamsaboo17 / Overcoming-Catastrophic-forgetting-in-Neural-Networks
  Elastic weight consolidation technique for incremental learning.
  ☆137Updated 4 years ago
• jindongwang / maml
  Python implementation MAML (model-agnostic meta learning)
  ☆30Updated 4 years ago
• jaehong31 / DEN
  Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
  ☆158Updated 5 years ago
• ariseff / overcoming-catastrophic
  Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
  ☆302Updated 4 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆35Updated 7 years ago
• giparisi / GDM
  Growing Dual-Memory Self-Organizing Networks
  ☆25Updated 6 years ago
• joansj / hat
  Overcoming catastrophic forgetting with hard attention to the task
  ☆214Updated 6 years ago
• kuc2477 / pytorch-deep-generative-replay
  PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
  ☆163Updated 7 years ago
• lmartak / distill-nn-tree
  Distillation of Neural Network Into a Soft Decision Tree
  ☆65Updated 5 years ago
• siavash-khodadadeh / MetaLearning-TF2.0
  Meta learning framework with Tensorflow 2.0
  ☆118Updated 2 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆14Updated 6 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆103Updated 6 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆37Updated 3 years ago