vield / less-forgetful-nns

Related projects: ⓘ

• stokesj / EWC
  TensorFlow implementation of Elastic Weight Consolidation
  ☆74Updated 7 years ago
• yashkant / Elastic-Weight-Consolidation
  This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
  ☆53Updated 6 years ago
• xujinfan / Reinforced-Continual-Learning
  code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
  ☆36Updated 5 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆102Updated 2 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆38Updated 2 years ago
• spiglerg / pyMeta
  Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…
  ☆48Updated 2 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆95Updated 6 years ago
• mattriemer / MER
  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …
  ☆143Updated 3 years ago
• hereismari / tensorflow-maml
  TensorFlow 2.0 implementation of MAML.
  ☆84Updated 5 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 4 years ago
• phquang / OnlineDeepLearning
  Implementation of Online Hedge Backpropagation
  ☆51Updated 6 years ago
• facebookresearch / agem
  Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
  ☆196Updated 2 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆97Updated 4 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆32Updated 5 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆187Updated 5 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆106Updated last month
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆34Updated 6 years ago
• ContinualAI / wiki
  ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
  ☆49Updated 2 years ago
• giparisi / GDM
  Growing Dual-Memory Self-Organizing Networks
  ☆25Updated 5 years ago
• titu1994 / Keras-just-another-network-JANET
  Keras implementation of [The unreasonable effectiveness of the forget gate](https://arxiv.org/abs/1804.04849)
  ☆35Updated 5 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated 11 months ago
• lmartak / distill-nn-tree
  Distillation of Neural Network Into a Soft Decision Tree
  ☆64Updated 4 years ago
• kuc2477 / pytorch-deep-generative-replay
  PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
  ☆153Updated 6 years ago
• imirzadeh / stable-continual-learning
  Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
  ☆74Updated last year
• rahafaljundi / Gradient-based-Sample-Selection
  ☆70Updated last year
• siavash-khodadadeh / MetaLearning-TF2.0
  Meta learning framework with Tensorflow 2.0
  ☆120Updated last year
• shivamsaboo17 / Overcoming-Catastrophic-forgetting-in-Neural-Networks
  Elastic weight consolidation technique for incremental learning.
  ☆124Updated 3 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 3 years ago
• fmeier / online-meta-learning
  ☆26Updated 5 years ago
• AdrienLE / learning_by_grad_by_grad_repro
  Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
  ☆45Updated 5 years ago