Skip to main content

Velocity in deep-learning research

Project description

This repository is my project to bring velocity to deep-learning research, by providing tried and tested large pool of prebuilt components that are known to be working well together.

I would like to minimize time to market of new projects, ease experimentation and provide bits of experiment management to bring some order to the data science workflow.

Ideally, for most applications it should be enough to write a config file wiring existing components together. If that’s not the case writing bits of custom code shouldn’t be unnecessarily complex.

This repository is still in an early stage of that journey but it will grow as I’ll be putting some work into it.

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

vel-0.2.2.tar.gz (114.9 kB view details)

Uploaded Source

Built Distribution

vel-0.2.2-py3-none-any.whl (203.1 kB view details)

Uploaded Python 3

File details

Details for the file vel-0.2.2.tar.gz.

File metadata

  • Download URL: vel-0.2.2.tar.gz
  • Upload date:
  • Size: 114.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for vel-0.2.2.tar.gz
Algorithm Hash digest
SHA256 1f0bd31bc18e884a6b20d4a72dc2afe3bfc975a8ba7d0077b46926b209203a01
MD5 ef38dd73f79d9f929acca87721567a4a
BLAKE2b-256 f9aa66aac84bf3b4f3b068ba19c5cc2cafd316950ad3c4a32c7c0fb168127286

See more details on using hashes here.

File details

Details for the file vel-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: vel-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 203.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for vel-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3761b535a127ae575aba8681870ce416e9b1d9c041f4e34350af10a9aab84848
MD5 c8e21e9bf88f244633c8f82bb9c51dce
BLAKE2b-256 bafec0b389d0b5224bdca1a9463a26c0a5cf2331e7cda788d5211689974357e6

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