Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Lectures Labs | 1,309 | a year ago | 2 | mit | Jupyter Notebook | |||||
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | ||||||||||
Deeppath | 471 | 3 months ago | 39 | Python | ||||||
Classification of Lung cancer slide images using deep-learning | ||||||||||
Deepslide | 449 | 8 months ago | 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. | ||||||||||
Machine_learning_2018 | 146 | 3 years ago | 5 | Jupyter Notebook | ||||||
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz | ||||||||||
Aaai_2019_exam | 51 | 4 years ago | gpl-2.0 | Python | ||||||
Official implementation of "Explicit Interaction Model towards Text Classification" | ||||||||||
Cancer Detector | 27 | 6 years ago | 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 | ||||||||||
Ml4industry | 14 | 4 years ago | Jupyter Notebook | |||||||
Machine Learning course at Linköping University for Industry | ||||||||||
Odsc_rules | 12 | 8 years ago | gpl-2.0 | R | ||||||
Notes and code for the workshop "Rule-Based Models for Regression and Classification” | ||||||||||
Helsinki Open Data Science | 10 | 2 years ago | 4 | HTML | ||||||
A DataCamp course for the University of Helsinki | ||||||||||
Hlt Hitsz.github.io | 9 | 4 years ago | ||||||||
Weekly Paper Reading Group of HLT-HITSZ |