Coding_excercises
A public repo for slides and exercise for the "Introduction to deep learning for biologists" Physalia course, by Nelson Nazzicari and Filippo Biscarini
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Carla | 10,122 |  | 2 | 4 | 5 months ago | 7 | November 14, 2023 | 1,011 | other | C++ |
| Open-source simulator for autonomous driving research. | ||||||||||
| Ml Visuals | 8,380 | a year ago | 13 | mit | ||||||
| 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing. | ||||||||||
| Awesome Object Detection | 6,707 | 2 years ago | 6 | |||||||
| Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html | ||||||||||
| Tensorflow Deep Learning | 4,632 | 6 months ago | 50 | mit | Jupyter Notebook | |||||
| All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | ||||||||||
| Pytorchzerotoall | 3,565 | 3 years ago | 30 | Python | ||||||
| Simple PyTorch Tutorials Zero to ALL! | ||||||||||
| Machine_learning_refined | 1,574 | a year ago | 1 | other | Python | |||||
| Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). | ||||||||||
| Lectures Labs | 1,309 | 2 years 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 | ||||||||||
| Nips2017 | 913 | 7 years ago | ||||||||
| A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017 | ||||||||||
| Cvpr2015 | 860 | 8 years ago | 11 | Jupyter Notebook | ||||||
| Clam | 786 | 6 months ago | 26 | gpl-3.0 | Python | |||||
| Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering | ||||||||||
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