Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
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Updated
Oct 29, 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.
PyCIL: A Python Toolbox for Class-Incremental Learning
✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
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).
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).
VOSK Speech Recognition Toolkit
🎉 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.
Benchmarking Knowledge Transfer in Lifelong Robot Learning
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Class-Incremental Learning: A Survey (TPAMI 2024)
Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.
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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