Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.
☆106Jun 27, 2022Updated 3 years ago
Alternatives and similar repositories for osaka
Users that are interested in osaka are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆200May 30, 2023Updated 2 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆106Dec 8, 2022Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆81Dec 16, 2020Updated 5 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Mar 29, 2021Updated 5 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.
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆446Jun 25, 2023Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Nov 15, 2021Updated 4 years ago
- ☆38Nov 4, 2024Updated last year
- ☆32Nov 22, 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
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆45Jul 7, 2023Updated 2 years ago
- ☆54Nov 22, 2019Updated 6 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Apr 14, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆120Jan 9, 2024Updated 2 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,852Nov 5, 2025Updated 5 months ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 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
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆253May 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
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Dec 15, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Relevant papers in Continual Learning☆741Jul 25, 2023Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆169Apr 11, 2022Updated 4 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆407Oct 22, 2018Updated 7 years ago
- This is a public repository for:☆38Aug 11, 2021Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆77Mar 25, 2023Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Dec 13, 2022Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Aug 22, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications☆14May 7, 2020Updated 5 years ago
- The Stream-51 dataset for streaming classification and novelty detection from videos.☆15Feb 22, 2022Updated 4 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆527Apr 26, 2021Updated 5 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆205Jun 3, 2021Updated 4 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆32Aug 1, 2021Updated 4 years ago
- ☆22Jul 30, 2023Updated 2 years ago
- ☆74Dec 8, 2022Updated 3 years ago