GokuMohandas/Made-With-ML

Jupyter Notebook

Learn how to design, develop, deploy and iterate on production-grade ML applications.

16/ 100

Activity

Stable

Score Breakdown

10

Issue Response

/ 25 pts

12

PR Merge Rate

/ 20 pts

0

External Contributions

/ 15 pts

0

Commit Distribution

/ 15 pts

0

Good First Issues

/ 10 pts

4

Complexity

/ 10 pts

0

CONTRIBUTING

/ 4 pts

0

Code of Conduct

/ 1 pts

0

No Penalty

Repo is code

-10

Activity

/ -10 pts

Repository Stats

Stars

45.7k

Forks

7.1k

Open Issues

18

Lines of Code

79.6k

Contributors

2

Contributor Friendliness

Good First Issues

0

Help Wanted

0

Avg Issue Response

7d

Avg PR Merge Time

2d

Avg PR Review Time

2w

Issue Close Rate

77%

Project Info

Created

Nov 5, 2018

Age

7 years old

Last Push

513d ago

Size

3.9 MB