Jupyter Notebook · MIT
mit-acl/mppi_numba
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
★ 322
Stars
23 forks · 2 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.
12.0
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 | 3.6 | last week ran 1.24× the monthly pace |
| Freshness | 15 | 0.0 | last push 2y ago; decays to zero at 180 days |
| Scale | 15 | 7.3 | 322 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 12.0 | sum of the above |
Detail
| Topics | gpumotion-planningmppinumbapythonroboticssampling-based-planningtraversability |
| Matched on | Robotics (motion-planning) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +3 stars over 26 days = 0.1/day |
| Lifetime average | 0.21 stars/day over 1,499 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |