Skip to main content

Collective Knowledge - lightweight knowledge manager to organize, cross-link, share and reuse artifacts

Project description

After struggling to reproduce experimental results and reuse artifacts from published papers (ML, AI, systems and quantum computing), we decided to develop the open-source Collective Knowledge framework (CK) to help the community share any knowledge (data, models, code, best practices, and repetitive and painful tasks) in the form of automated, portable and reusable components with a unified Python API, CLI, JSON meta description and connectors from C, C++, Fortran, Java and other languages. See the [online index of shared components](https://ReproIndex.com/components) from [reproduced papers](https://ReproIndex.com/papers).

Such components can be continuously improved by the community and connected together into portable and automated workflows to collaboratively solve real world problems:

Note that CK is a collaborative project and not a magic ;) - if some third-party automation fails or misses some functionality (software detection, package installation, benchmarking and autotuning workflow, etc), the CK concept is to continuously and collaboratively improve such reusable components! Please provide your feedback and report bugs in the respective GitHub repositories: https://ReproIndex.com/components !

Release history Release notifications | RSS feed

Download files

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

Source Distribution

ck-1.9.9.tar.gz (114.4 kB view details)

Uploaded Source

File details

Details for the file ck-1.9.9.tar.gz.

File metadata

  • Download URL: ck-1.9.9.tar.gz
  • Upload date:
  • Size: 114.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.10.0 pkginfo/1.2.1 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.8

File hashes

Hashes for ck-1.9.9.tar.gz
Algorithm Hash digest
SHA256 c7690fb742621350fa5c4cbe93d0046ef087acb791228ff064ef37043979109b
MD5 7f1f019977cef942dd8bf5c34f337680
BLAKE2b-256 2dc63875f4a0b30a42c215ebb79d40faf0e72dbdb4c119e0a8146865519997ef

See more details on using hashes here.

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