| m2dsupsdlclass/lectures-labs |
1,309 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris |
| ncoudray/DeepPATH |
471 |
|
0 |
0 |
about 2 years ago |
0 |
|
39 |
|
Python |
| Classification of Lung cancer slide images using deep-learning |
| BMIRDS/deepslide |
449 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images. |
| snrazavi/Machine_Learning_2018 |
146 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
|
Jupyter Notebook |
| Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz |
| NonvolatileMemory/AAAI_2019_EXAM |
51 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
gpl-2.0 |
Python |
| Official implementation of "Explicit Interaction Model towards Text Classification" |
| cheersyouran/cancer-detector |
27 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Python |
| Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947 |
| STIMALiU/ml4industry |
14 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Machine Learning course at Linköping University for Industry |
| topepo/odsc_rules |
12 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
gpl-2.0 |
R |
| Notes and code for the workshop "Rule-Based Models for Regression and Classification” |
| TuomoNieminen/Helsinki-Open-Data-Science |
10 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
|
HTML |
| A DataCamp course for the University of Helsinki |
| HLT-HITSZ/HLT-HITSZ.github.io |
9 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
|
| Weekly Paper Reading Group of HLT-HITSZ |
