| microsoft/AutonomousDrivingCookbook |
2,141 |
|
0 |
0 |
almost 3 years ago |
0 |
|
33 |
mit |
Jupyter Notebook |
| Scenarios, tutorials and demos for Autonomous Driving |
| astorfi/CNTK-World |
332 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) |
| Azure/pixel_level_land_classification |
166 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy. |
| shwars/NeuroWorkshop |
80 |
|
0 |
0 |
almost 5 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Neural Network Workshop Materials |
| guolinke/deep-learning-benchmarks |
31 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| usamec/cntk-rs |
18 |
|
0 |
0 |
about 8 years ago |
8 |
November 29, 2017 |
1 |
other |
Rust |
| Wrapper around Microsoft CNTK library |
| WLOGSolutions/microsoft_cntk2.0_from_r |
9 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
R |
| Showcase: calling Microsoft Cognitive Toolkit (CNTK) 2.0 deep learning library fromwithin R using reticulate package and Azure DSVM. |
| tobyclh/UnityCNTK |
7 |
|
0 |
0 |
almost 9 years ago |
0 |
|
7 |
mit |
C# |
| Framework of CNTK for Unity3D |
| Hzzone/CNTK_Realtime_Multi-Person_Pose_Estimation |
7 |
|
0 |
0 |
almost 8 years ago |
0 |
|
6 |
|
Python |
| Microsoft CNTK implementation of Realtime Multi-Person Pose Estimation. |
| egg-west/IndRNN_cntk |
5 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| An implementation of IndRNN on Microsoft cntk. |
