Alternatives and similar repositories for ProgressiveNeuralNetworks.pytorch

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

• xujinfan / Reinforced-Continual-Learning
  code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."
  ☆38Updated 6 years ago
• mattriemer / MER
  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …
  ☆147Updated 4 years ago
• StanfordASL / moca
  ☆32Updated 2 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 3 years ago
• joansj / hat
  Overcoming catastrophic forgetting with hard attention to the task
  ☆215Updated 6 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆191Updated 6 years ago
• khurramjaved96 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆204Updated 11 months ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆48Updated 5 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆142Updated 4 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆76Updated 4 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆73Updated 2 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆164Updated 3 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 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 6 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 3 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆198Updated 7 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
• facebookresearch / agem
  Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
  ☆204Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆102Updated 2 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆105Updated 6 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
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• vuoristo / MMAML-Regression
  ☆21Updated 4 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 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 6 years ago