kjaved0 / mrclView external linksLinks
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
☆205Jul 25, 2024Updated last year
Alternatives and similar repositories for mrcl
Users that are interested in mrcl are comparing it to the libraries listed below
Sorting:
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Mar 29, 2021Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Jun 27, 2022Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆117May 2, 2020Updated 5 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆80Dec 16, 2020Updated 5 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆208Oct 12, 2021Updated 4 years ago
- Relevant papers in Continual Learning☆741Jul 25, 2023Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 4 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆405Oct 22, 2018Updated 7 years ago
- ☆26Jul 3, 2020Updated 5 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆105Dec 8, 2022Updated 3 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆524Apr 26, 2021Updated 4 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Apr 14, 2020Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 4 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆219Jan 23, 2019Updated 7 years ago
- ☆32Nov 22, 2022Updated 3 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,823Nov 5, 2025Updated 3 months ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Oct 4, 2023Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 5 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 4 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Jul 12, 2019Updated 6 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Oct 23, 2020Updated 5 years ago
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Jun 15, 2021Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Mar 25, 2023Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆826Dec 5, 2023Updated 2 years ago
- Code for "Supermasks in Superposition"☆125Oct 3, 2023Updated 2 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆36Aug 18, 2020Updated 5 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆65Apr 1, 2022Updated 3 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Nov 2, 2020Updated 5 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆109Jul 25, 2024Updated last year
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Dec 3, 2019Updated 6 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆197May 30, 2023Updated 2 years ago
- Benchmark for Lifelong learning research☆118Aug 16, 2021Updated 4 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,052Jul 17, 2023Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆445Jun 25, 2023Updated 2 years ago