Skip to main content

Deep learning toolbox/framework.

Project description

# Boardom

High-ish level toolbox, less boilerplate, PyTorch, loops, code, metrics, blah blah, deep learning, blah.

A continuation of [pydlt](https://github.com/dmarnerides/pydlt).

# Installation

  1. Install Dependencies

`bash pip install rawpy portalocker tqdm lmdb aiohttp wrapt zmq msgpack numpy matplotlib scipy pandas ordered_set pylatex `

  1. Install torch and torchvision ([follow instructions here](https://pytorch.org/get-started/locally/))

3. Install OpenCV. Sometimes it’s tricky to get right. This should probably be fine: `bash pip install opencv-python `

4. Finally install boardom `bash pip install boardom `

## Contact

Demetris Marnerides: dmarnerides@gmail.com

## NOTE

(A portmanteau of Tensorboard and Visdom.)

Not affiliated with [boardom.io](https://boardom.io/), but that might be what you were looking for!

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

boardom-0.4.2.tar.gz (9.8 MB view details)

Uploaded Source

Built Distribution

boardom-0.4.2-py3-none-any.whl (9.8 MB view details)

Uploaded Python 3

File details

Details for the file boardom-0.4.2.tar.gz.

File metadata

  • Download URL: boardom-0.4.2.tar.gz
  • Upload date:
  • Size: 9.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.8.8

File hashes

Hashes for boardom-0.4.2.tar.gz
Algorithm Hash digest
SHA256 4f14fb1eec9f65f474a7a783ab40cc219f3992c6ddf301b29072185882d5b569
MD5 6c999c587134de35ee9531f5eac95c3d
BLAKE2b-256 8aafccea303e1ec98092ca8ffb7593ec89fde9fd35f5d54d9012bfcec92ec5ec

See more details on using hashes here.

File details

Details for the file boardom-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: boardom-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 9.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.8.8

File hashes

Hashes for boardom-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 dff8f65f0f279644667d95a562b1379e39f2c22eb9467207bb5a22a4b95d4d40
MD5 a7c1bf2febb4c2413d26b0597b1a59a9
BLAKE2b-256 b3b0199c533b3d26a111ed6f8b1bb1d67b0ad914c00fdc3038f2b7e7ab1a1419

See more details on using hashes here.

Supported by

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