Jupyter Notebook · MIT
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
★ 3.4k
Stars
608 forks · 1 open issues
+5.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
29.7
Momentum / 100
see the breakdown below
5y ago
Created
last push 2y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 4.5 | +5.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 15.0 | last week ran 2.32× the monthly pace |
| Freshness | 15 | 0.0 | last push 2y ago; decays to zero at 180 days |
| Scale | 15 | 10.2 | 3.4k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 29.7 | sum of the above |
Detail
| Topics | data-engineeringdata-qualitydata-sciencedeep-learningdistributed-mlllmsmachine-learningmlopsnatural-language-processingpythonpytorchray |
| Matched on | Data (data-engineering) |
| Short window | +5 stars over 7 days = 0.7/day |
| Long window | +8 stars over 26 days = 0.3/day |
| Lifetime average | 1.56 stars/day over 2,184 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |