Code for Continual Learning of Context-dependent Processing in Neural Networks
☆183Aug 18, 2021Updated 5 years ago
Alternatives and similar repositories for OWM
Users that are interested in OWM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆26Jul 3, 2020Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆210Oct 12, 2021Updated 4 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,883Nov 5, 2025Updated 10 months ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Mar 29, 2021Updated 5 years ago
- ☆62Jan 15, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Evaluate three types of task shifting with popular continual learning algorithms.☆531Apr 26, 2021Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Dec 27, 2017Updated 8 years ago
- ☆273Sep 29, 2021Updated 4 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆196Apr 23, 2021Updated 5 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆223Jan 23, 2019Updated 7 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 6 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Oct 10, 2022Updated 3 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆107Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is the official repository for Batch Level Distillation (BLD)☆15Jan 25, 2021Updated 5 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254May 25, 2023Updated 3 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆90Oct 4, 2023Updated 2 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆252Jul 6, 2023Updated 3 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆85Sep 20, 2023Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆172Apr 11, 2022Updated 4 years ago
- pytorch implementation of Large Scale Incremental Learning☆68Aug 2, 2020Updated 6 years ago
- Implementation of Learning without Forgetting paper☆132Mar 11, 2021Updated 5 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Apr 16, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆76Jan 10, 2020Updated 6 years ago
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 3 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆286Jul 25, 2024Updated 2 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆25Oct 6, 2020Updated 5 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Memory Aware Synapses method implementation code☆99Oct 8, 2018Updated 7 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆208Jul 25, 2024Updated 2 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Jun 24, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆32Aug 28, 2018Updated 8 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- [NeurIPS2019] Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs☆15Jan 26, 2020Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Dec 15, 2022Updated 3 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Nov 1, 2017Updated 8 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆408Oct 22, 2018Updated 7 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆410Oct 3, 2023Updated 2 years ago