Skip to main content

Multimodal PyTorch dataset library

Project description

banner

Ask DeepWiki

rbyte implements a PyTorch Dataset with TensorClass-based samples built from multimodal data.

Installation

uv add rbyte [--extra <EXTRA>]

See pyproject.toml for available extras.

Examples

git clone https://github.com/yaak-ai/rbyte && cd rbyte
nix develop # alternatively, install `uv`, `just`, `ytt`
just notebook examples/nuscenes.ipynb

Development

git clone https://github.com/yaak-ai/rbyte && cd rbyte
nix develop
just setup

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rbyte-0.35.0.tar.gz (31.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rbyte-0.35.0-py3-none-any.whl (48.9 kB view details)

Uploaded Python 3

File details

Details for the file rbyte-0.35.0.tar.gz.

File metadata

  • Download URL: rbyte-0.35.0.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for rbyte-0.35.0.tar.gz
Algorithm Hash digest
SHA256 18deb99d31fdbe4acbf84288ecc8259502d7572e00ca6e0f35cbf83e579d9c50
MD5 a23b78455503c0c976690af2a120c1d1
BLAKE2b-256 ad162dd2e0e2195f6794c9179d824ee41647b64b4aa96e7d60969f206ae84ff2

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.35.0.tar.gz:

Publisher: release.yaml on yaak-ai/rbyte

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file rbyte-0.35.0-py3-none-any.whl.

File metadata

  • Download URL: rbyte-0.35.0-py3-none-any.whl
  • Upload date:
  • Size: 48.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for rbyte-0.35.0-py3-none-any.whl
Algorithm Hash digest
SHA256 74d48cb4c34c5ad044ed46813d37dde1084ad6086534576b6bfdfd70047abf90
MD5 68b02592f3ddd9bf9a29c1df39de6f5c
BLAKE2b-256 6aaa8fc8bd74c1a41d5a527cd27085181c50221cea1d2a9c9f557e5cb836c7a1

See more details on using hashes here.

Provenance

The following attestation bundles were made for rbyte-0.35.0-py3-none-any.whl:

Publisher: release.yaml on yaak-ai/rbyte

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page