burn/crates/burn-dataset
Paul Wagener c1b61033f4
Fix compile for dataset crate with vision feature (#2228)
This fixes the compile error when burn is compiled with only the `dataset` and `vision` feature enabled

burn = { default-features = false, features = ["dataset", "vision"] }
2024-09-01 17:03:37 -04:00
..
examples Added parameter trust_remote_code to hf dataset call. (#2013) 2024-07-17 16:40:23 -05:00
src Add polars DataFrame support for Dataset (#2029) 2024-07-31 17:22:49 -05:00
tests/data [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00
Cargo.toml Fix compile for dataset crate with vision feature (#2228) 2024-09-01 17:03:37 -04:00
LICENSE-APACHE Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
LICENSE-MIT Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
README.md [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00

README.md

Burn Dataset

Burn dataset library

Current Crates.io Version license

The Burn Dataset library is designed to streamline your machine learning (ML) data pipeline creation process. It offers a variety of dataset implementations, transformation functions, and data sources.

Feature Flags

  • audio - enables audio dataset (SpeechCommandsDataset). Run the following example to try it out:

    cargo run --example speech_commands --features audio