| LAL/trackml-library |
153 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| Utilities for trackML challenge participants, provided by the organizers |
| youguqiaomu/DPP |
25 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| DPPmodel and dataset |
| neuroailab/physics_prediction |
25 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Codes for paper "Flexible Neural Representation for Physics Prediction". |
| balajiln/pgbart |
23 |
|
0 |
0 |
almost 11 years ago |
0 |
|
1 |
other |
Python |
| Particle Gibbs for Bayesian Additive Regression Trees |
| DanuserLab/u-track3D |
22 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
gpl-3.0 |
MATLAB |
| Multiple particle tracking in dense 3D particle fields complemented with dynamic regions of interest and trackability inferences for the automated exploration of large volumetric sequences. |
| StanfordASL/MATS |
21 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Code accompanying the CoRL 2020 paper "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control" by Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, and Marco Pavone. |
| THUHoloLab/Dense-U-net |
17 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Python |
| Dense-U-net: Dense encoder-decoder network for holographic imaging of 3D particle field |
| gberaudo/olwind |
16 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
other |
JavaScript |
| Wind layers for OpenLayers |
| derlin/hepqpr-qallse |
13 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Particle tracking on D-Wave. |
| ijager/PedestrianTracker |
11 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
Python |
| Tracking Pedestrians using HOG Features and a Particle Filter |
