Back to search
Top Contributors
595
commits
142
commits
131
commits
107
commits
76
commits
59
commits
47
commits
41
commits
36
commits
28
commits
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Stars
1.4k
Forks
423
Watchers
1.4k
Open Issues
111
Overall repository health assessment
No package.json found
This might not be a Node.js project
595
commits
142
commits
131
commits
107
commits
76
commits
59
commits
47
commits
41
commits
36
commits
28
commits
fix: prepare for ggplot2 4.0.0 + budget allocator initials points + robyn_write()'s bug + op's mean points + styler() (#1283)
33baf19View on GitHubfix: mean response and performance values standardized across functions (#1280)
ac773d7View on GitHubOptimize _geometric_adstock for 99% speedup, reducing app runtime by ~40% (#1217)
722d1bfView on GitHubOptimize decomposition calculations to reduce total execution time (#1221)
9ce66a0View on GitHubFix: handling for context vars. add support for disabling prophet option. (#1209)
025ededView on GitHubfix: modeling window coverage considers all actual dates data + legacy InputCollect for BA bug (#1199)
98a2261View on GitHub