| github/CodeSearchNet |
2,054 |
|
0 |
0 |
about 4 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Datasets, tools, and benchmarks for representation learning of code. |
| mdeff/fma |
1,773 |
|
0 |
0 |
over 3 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| FMA: A Dataset For Music Analysis |
| maja601/EuroCrops |
116 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
cc-by-sa-4.0 |
Jupyter Notebook |
| The official repository for the EuroCrops dataset. |
| BIMCV-CSUSP/BIMCV-COVID-19 |
112 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
mit |
HTML |
| Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19 |
| opengeos/aws-open-data |
60 |
|
0 |
0 |
19 days ago |
0 |
|
0 |
mit |
Python |
| A list of open datasets on AWS |
| matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning |
32 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
other |
MATLAB |
| MATLAB example using deep learning to classify chronological age from brain MRI images |
| matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs |
20 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
other |
MATLAB |
| This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset. |
| hollobit/COVID-19-AI |
16 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
|
| Collection of AI resources to fight against Coronavirus (COVID-19) |
| mbari-org/pacific-sound-notebooks |
11 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
gpl-3.0 |
|
| Juptyer notebook tutorials on using the data in the AWS pacific-sound registry for ocean soundscape research, education, and the arts |
