Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
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Updated
Jun 21, 2024 - Python
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
PyCIL: A Python Toolbox for Class-Incremental Learning
Continual Learning papers list, curated by ContinualAI
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Evaluate three types of task shifting with popular continual learning algorithms.
A clean and simple data loading library for Continual Learning
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
VOSK Speech Recognition Toolkit
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Benchmarking Knowledge Transfer in Lifelong Robot Learning
Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.
Class-Incremental Learning: A Survey (TPAMI 2024)
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
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