kochgroup / intro_pharma_ai Goto Github PK
View Code? Open in Web Editor NEWA collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
Home Page: https://doi.org/10.1002/ardp.202200628
License: Other
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digichem tientruongnguyen eliochen bishnukuet catenate15 mehmetaliyucel1 regi-na pablo-arantes meiling-sun quantaosun ardeat erfantoloue qihaoxiaoai janoschmenke daiyun02211 viegof moglul anachavezhdz robinwilliamsxu divya1205intro_pharma_ai's Issues
Found some German inside the notebooks
Hey, very nice notebooks you have.
I enjoyed a lot, but occasionally I find some German inside the English version. I will add the screenshots here, so you would be able to fix it some day:)
Many thanks for your work!
Add GPU support to Week 12 - Autoencoders
We need to add GPU support to Week 12 Autoencoders
Dead link to image in Notebook 10 - Transfer Learning (EN & GER)
Dead link:
https://pennylane.ai/qml/_images/transfer_learning_general.png
What exactly was displayed here?
Missing "In this section you'll learn" in multiple notebooks (EN & GER)
We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
| Notebook | EN | GER ("Lernziele") |
|---|---|---|
| 01 - Introduction to Jupyter | missing | missing |
| 02 - Introduction to Python | missing | missing |
| 03 - Cheminformatics | ||
| 04 - Linear Regression | ||
| 05 - Data Science | ||
| 06 - Linear Algebra for NN | ||
| 07 - First Neural Net | ||
| 08 - PyTorch | ||
| 09 - Convolutional Neural Network | missing | missing |
| 10 - Transfer Learning | ||
| 11 - Recurrent Neural Networks | missing | missing |
| 12 - Autoencoders | called "Learning Objectives" | |
| 13 - Graph Neural Networks | called "Learning Objectives" | |
| 14 - Summary | called "Learning Objectives" |
for function onehotencode().
hi, thanks a lot to provide such good materials for learning.
i have a question about setion 13, as mentioned,
For the one-hot encoding of the atoms we use the already written function onehotencode().
but i cannot find the function in other sections. could you please provide more detailed codes for this function?
many thanks,
best,
Check if correction of mistake is also necessary in german translation.
Remove line "submit for grading"
At least notebooks 03 and 04 (english) still have a line in the practice exercise asking to submit the solution.
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