Avalanche
GitHubAPI DocPaperContinualAI
Search…
Avalanche: an End-to-End Library for Continual Learning
📌
Getting Started
Introduction
Current Release
How to Install
Learn Avalanche in 5 Minutes
📙
From Zero to Hero Tutorial
Introduction
Models
Benchmarks
Training
Evaluation
Loggers
Putting All Together
Extending Avalanche
Contribute to Avalanche
How-Tos
AvalancheDataset
Preamble: PyTorch Datasets
Creating AvalancheDatasets
Advanced Transformations
Dataloaders, Buffers, and Replay
📝
Examples
Models
Benchmarks
Training
Evaluation
Loggers
💻
Code Documentation
Avalanche API
How to Contribute
Guidelines
❓
Questions and Issues
Ask Your Question
Add Your Issue
Request a Feature
Give Feedback
👪
About Us
The People
Join Us!
Slack
Email
Twitter
Powered By GitBook
AvalancheDataset
Dealing with AvalancheDatasets
The AvalancheDataset is an implementation of the PyTorch Dataset class that comes with many useful out-of-the-box functionalities. For most users, the AvalancheDataset can be used as a plain PyTorch Dataset that will return x, y, t elements. However, the AvalancheDataset is much more powerful than a simple PyTorch Dataset.
A serie of Mini How-Tos will guide you through the functionalities of the AvalancheDataset and its subclasses:
Brefore jumping to the actual Mini How-Tos, we recommend having a look at the basic notions of Dataset and DataLoader by reading the Preamble page.
From Zero to Hero Tutorial - Previous
Contribute to Avalanche
Next
Preamble: PyTorch Datasets
Last modified 22d ago
Export as PDF
Copy link