Overview

  • stars
    4.59k

    Compared to:

    deeptraffic
    1.03k
    deepcars
    287
    boring-detector
    85
  • pull requests
    4
  • commits
    50
  • contributors
    5
  • forks
    879

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Stars over time for lexfridman / mit-deep-learning compared with lexfridman / deeptraffic, lexfridman / deepcars, and lexfridman / boring-detector

Contributors

Top 2 commits:

  1. lexfridman: 40 commits (90.9%)
  2. Zephyr-D: 4 commits (9.1%)

Lexfridman had the most commits to mit-deep-learning at 40 (as of Q1 2019), followed by Zephyr-D (4).

Top Contributors

top lexfridman / mit-deep-learning contributors

Comparator Projects

top lexfridman / deeptraffic contributors

top lexfridman / deepcars contributors

top lexfridman / boring-detector contributors

Locations

United States had the most contributors to mit-deep-learning at 1 (as of Q1 2019).

Top countries contributors:

  1. United States: 1 contributors (100%)

comparing against

locations of contributors to mit-deep-learning

locations of contributors to deeptraffic

Languages

Top languages share:

  1. jupyter notebook: 100% share

The most used language in mit-deep-learning is jupyter notebook at 2MB (as of Q1 2019).

Distribution of languages

lexfridman / mit-deep-learning languages

Comparator projects

lexfridman / deeptraffic languages

lexfridman / deepcars languages

lexfridman / boring-detector languages