Alternatives and similar repositories for ProgressiveNeuralNetworks.pytorch:

Users that are interested in ProgressiveNeuralNetworks.pytorch are comparing it to the libraries listed below

• StanfordASL / moca
  ☆31Updated 2 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• 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
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆72Updated 2 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆33Updated 4 years ago
• xujinfan / Reinforced-Continual-Learning
  code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
  ☆38Updated 6 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 5 years ago
• phquang / Contextual-Transformation-Network
  ☆22Updated last year
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆45Updated 2 years ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆48Updated 4 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 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
• Xingyu-Lin / auxiliary-tasks-rl
  Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning
  ☆26Updated 4 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆76Updated 4 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• yunhuiguo / MEGA
  [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning
  ☆18Updated 4 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 4 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆100Updated 4 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• Yuantian013 / E2GAN
  [ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, W…
  ☆41Updated 2 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆103Updated 6 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 3 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆53Updated 5 years ago
• vuoristo / MMAML-Regression
  ☆21Updated 4 years ago
• yangsenius / learning-to-learn-by-pytorch
  "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
  ☆60Updated 5 years ago