| deepmodeling/deepmd-kit |
1,303 |
|
0 |
2 |
about 2 years ago |
44 |
October 27, 2023 |
44 |
lgpl-3.0 |
C++ |
| A deep learning package for many-body potential energy representation and molecular dynamics |
| HMS-Core/hms-ml-demo |
333 |
|
0 |
0 |
over 2 years ago |
0 |
|
17 |
apache-2.0 |
Java |
| HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts. |
| udacity/CarND-LeNet-Lab |
123 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Implement the LeNet deep neural network model with TensorFlow. |
| MaximIntegratedAI/MaximAI_Documentation |
74 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
other |
|
| START HERE: Documentation for ADI's MAX78000 and MAX78002 AI devices |
| kevinzakka/form2fit |
57 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Python |
| Train generalizable policies for kit assembly with self-supervised dense correspondence learning. |
| KarelZe/anki-decks |
33 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| This is a collection of flashcard decks created for classes at Karlsruhe Institute of Technology. |
| nitsaick/kits19-challenge |
32 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
mit |
Python |
| Kidney Tumor Segmentation Challenge 2019 |
| muellerdo/kits19.MIScnn |
25 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net |
| daniel-bogdoll/phd |
21 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| AD4AD: Anomaly Detection for Autonomous Driving |
| radtorch/radtorch |
11 |
|
0 |
0 |
almost 4 years ago |
1 |
March 09, 2020 |
1 |
other |
Python |
| Official repository for RADTorch - The Medical Imaging Machine Learning Framework |
