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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file vel-0.3.0.tar.gz.
File metadata
- Download URL: vel-0.3.0.tar.gz
- Upload date:
- Size: 125.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c6b8a3f99d364ffd20f40ca20acfd9a3188928b67543e7a2ee14f6dca695ba68 |
|
| MD5 | fee112c0563d333325531ee6ae224f77 |
|
| BLAKE2b-256 | 005803eec28905da5b355a81c59ba0d383eaefd0a82b121ea703de2f9d2d3439 |
