GMvandeVen / brain-inspired-replayLinks
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
☆243Updated 2 years ago
Alternatives and similar repositories for brain-inspired-replay
Users that are interested in brain-inspired-replay are comparing it to the libraries listed below
Sorting:
- Evaluate three types of task shifting with popular continual learning algorithms.☆523Updated 4 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆204Updated 4 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Updated 8 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆218Updated 6 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆284Updated last year
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆167Updated 3 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆206Updated 4 years ago
- An implementation of EWC with PyTorch☆255Updated 6 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆108Updated 7 years ago
- Elastic weight consolidation technique for incremental learning.☆149Updated 4 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆104Updated 2 years ago
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆78Updated 2 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆402Updated 7 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆313Updated last year
- ☆177Updated 3 years ago
- ☆73Updated 2 years ago
- ☆266Updated 4 years ago
- Relevant papers in Continual Learning☆739Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆440Updated 2 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated 2 years ago
- PyTorch Implementation of iCaRL☆119Updated 6 years ago
- Memory Aware Synapses method implementation code☆97Updated 7 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆407Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆414Updated 2 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discrimina…☆58Updated 3 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆293Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year