Repository · MIT
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
★ 30.8k
Stars
4k forks · 12 open issues
+7.9/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
31.1
Momentum / 100
see the breakdown below
6y ago
Created
last push 2y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 18.1 | +7.9/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.74× the monthly pace |
| Freshness | 15 | 0.0 | last push 2y ago; decays to zero at 180 days |
| Scale | 15 | 13.0 | 30.8k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 31.1 | sum of the above |
Detail
| Topics | applied-data-scienceapplied-machine-learningcomputer-visiondata-discoverydata-engineeringdata-qualitydata-sciencedeep-learningmachine-learningnatural-language-processingproductionrecsysreinforcement-learningsearch |
| Matched on | Computer Vision (computer-vision) Data (data-engineering) |
| Short window | +55 stars over 7 days = 7.9/day |
| Long window | +277 stars over 26 days = 10.7/day |
| Lifetime average | 13.30 stars/day over 2,315 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |