Sequoia
A Playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
FACIL
Framework for Analysis of Class-Incremental Learning
Mammoth - An Extendible (General) Continual Learning Framework for Pytorch
Official repository of Dark Experience for General Continual Learning: a Strong, Simple Baseline
Continuum
Continuum: Simple Management of Complex Continual Learning Scenarios
A continual learning survey: Defying forgetting in classification tasks
Implementation of the survey baselines
Gradient Episodic Memory for Continual Learning
Reproduce paper. Nice repo because baselines and GEM are seamlessly interchangable
Generative Models from the perspective of Continual Learning
Complete repo for experiments in Generative Continual Learning
Online Continual Learning with Maximally Interfered Retrieval
Reproduce paper
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference (MER)
Reproduce paper
Avalanche
Avalanche: an End-to-End Library for Continual Learning
PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
continual-learning-reproduce
Implementation of continual learning methods
CORe50: a New Dataset and Benchmark for Continuous Object Recognition (2017)
Continual Reinforcement Learning in 3D Non-stationary Environments (2019)
Learning in embedded systems (1993) [bib]
Foundations of learning in autonomous agents (1991) [bib]
An architecture for intelligent reactive systems (1987) [bib]
An adaptable mobile robot (1992) [bib]
https://github.com/xialeiliu/Awesome-Incremental-Learning
Another CL paper repository
https://github.com/prprbr/awesome-lifelong-continual-learning
Another CL paper repository