Avalanche: and End-to-End Library for Continual Learning based on PyTorch

Avalanche is an End-to-End Continual Learning Library (now part of the PyTorch Ecosystem!) powered by ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms. Learning continually from a non-stationary stream of experiences is a challenging task, especially for deep neural networks, where simply fine-tuning a pre-trained model on the new available data often incurs in catastrophic forgetting of previously learned knowledge. Check out how your code changes when you start using Avalanche! Avalanche is the first experiment of a End-to-end Library for reproducible continual learning research & development where you can find benchmarks, algorithms, evaluation metrics and much more, in the same place. Do you want to start using Avalanche right now? Check out the complete "From Zero to Hero" tutorial runnable on google colab!