Software and Benchmarks
One of the most important objectives of the Continual AI project is to provide easy access to Continual Learning both in terms of didactic materials and open software/datasets for business/research. In this page we will try to collect every open-source project related to Continual Learning.
Software
- Sequoia Library: A Playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
- Continuum: Continuum is a Python library (written with PyTorch) for loading of datasets in Continual Learning. It supports many datasets and most CL scenarios (NC, NI, NIC…).
- OpenAI Gym: Open source interface that provides a ready-to-use suite of reinforcement learning tasks for evaluating performance of your algorithm.
- DeepMind Lab: 3D learning environment that provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents.
Datasets and Benchmarks
- CRIB: Synthetic, incremental object learning environment that can produce data that models visual imagery produced by object exploration in early infancy
- Visual Domain Decathlon: Ten image classification problems representative of very different visual domains.
Last modified 11mo ago
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