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wdm0006

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  1. 1 points 0
  2. 1 points 0
  3. Zero-code-change CUDA acceleration for scikit-learn (developer.nvidia.com)
    3 points 0
  4. Stargazers: A CLI for downloading GitHub stars data (mcginniscommawill.com)
    1 points 0
  5. Estimating the time spent on a project with git-pandas (willmcginnis.com)
    1 points 0
  6. LIME: reasonable interpretations for black-box models (homes.cs.washington.edu)
    3 points 0
  7. Bayesian Survival Analysis in Python with Pymc3 (austinrochford.com)
    2 points 0
  8. File details and owners with gitnoc and git-pandas (willmcginnis.com)
    3 points 0
  9. Estimating code quality with survival analysis and git-pandas (willmcginnis.com)
    1 points 0
  10. Overoptimizing: a story about Kaggle (willmcginnis.com)
    4 points 0
  11. Using python's inspect module to ensure module consistency (willmcginnis.com)
    2 points 0
  12. Plot your GitHub cumulative progress in 5 lines of python (willmcginnis.com)
    6 points 0
  13. Pygeohash: now with basic stats (willmcginnis.com)
    1 points 0
  14. Full-team Git dashboards with python and git-pandas (willmcginnis.com)
    5 points 0
  15. Common data pitfalls for recurring ML systems (willmcginnis.com)
    3 points 0
  16. Create organization-wide punchcards with python and git-pandas (willmcginnis.com)
    3 points 0
  17. Even further beyond one-hot: feature hashing (willmcginnis.com)
    1 points 0
  18. Gitpandas v0.0.6: python 2 support, file-wise blame, and more (willmcginnis.com)
    1 points 0
  19. Beyond one-hot: an exploration of categorical variables (willmcginnis.com)
    1 points 0
  20. Python examples with Apache Flink (github.com)
    2 points 0
  21. Analyze Git repositories with pandas: git-pandas (willmcginnis.com)
    15 points 2
  22. Using the new python API in Apache Flink v0.10.1 (willmcginnis.com)
    4 points 1