Mathematical Methods In Deep Learning Ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Statsintro_python | 749 | 2 years ago | other | HTML | ||||||
| Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python" | ||||||||||
| Elegant Scipy | 396 | 4 years ago | 68 | other | Python | |||||
| 1st Edition of Elegant SciPy (O'Reilly Publishers) | ||||||||||
| Real World Machine Learning | 271 | 7 years ago | 4 | mit | Jupyter Notebook | |||||
| Code accompanying the Real-World Machine Learning book | ||||||||||
| Ipython Minibook | 189 | 8 years ago | 1 | Python | ||||||
| UPDATE (2015): This is an old repo, go here for the new edition | ||||||||||
| Pragmaticai | 103 | 2 years ago | other | Makefile | ||||||
| [Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning | ||||||||||
| Mathematical Methods In Deep Learning Ipython | 78 | 5 months ago | 4 | mit | Jupyter Notebook | |||||
| Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar). | ||||||||||
| Minibook Code | 58 | 10 years ago | Python | |||||||
| [DEPRECATED] | ||||||||||
| Notebooks | 50 | 4 years ago | 50 | Python | ||||||
| jupyter/ipython notebooks demonstrating PySAL functionality | ||||||||||
| Uq_chapter | 47 | 9 years ago | 2 | CSS | ||||||
| Uncertainty quantification book chapter | ||||||||||
| Sms Analysis | 35 | 3 years ago | 4 | Jupyter Notebook | ||||||
| Python/IPython code to analyze one's text messages. Intended to work out of the box, see README for details. | ||||||||||
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