Repository · MIT
kennethleungty/Failed-ML
Compilation of high-profile real-world examples of failed machine learning projects
★ 752
Stars
52 forks · 0 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
9.5
Momentum / 100
see the breakdown below
4y ago
Created
last push 2y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 2y ago; decays to zero at 180 days |
| Scale | 15 | 8.3 | 752 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 9.5 | sum of the above |
Detail
| Topics | aiartificial-intelligenceclassificationcomputer-visiondata-engineeringdata-qualitydata-sciencedeep-learningfailed-data-sciencefailed-machine-learningfailed-mlfmlforecastingmachine-learningmlnatural-language-processingproductionrecsysregression |
| Matched on | Data (data-engineering) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.49 stars/day over 1,543 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |