dmol-book
Deep learning for molecules and materials book (by whitead)
chemics-examples
Examples of using the Chemics package for Python (by chemics)
| dmol-book | chemics-examples | |
|---|---|---|
| 5 | 1 | |
| 582 | 9 | |
| - | - | |
| 3.4 | 0.0 | |
| 11 months ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dmol-book
Posts with mentions or reviews of dmol-book.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Best machine learning course for academic research?
A chemical engineering professor of mine wrote an open-sourse online book that I really enjoyed. dmol.pub
- [Deep Learning] deep learning for molecules & materials
-
If you believe like Eliezer Yudkowsky that superintelligent AI is threatening to kill us all, why aren't you evangelizing harder than Christians, why isn't it the main topic talked about in this subreddit or in Scott's blog, why aren't you focusing working only on it?
This is a good time to learn about machine learning if you're a chemist. This book, "deep learning for molecules & materials" by Andrew White, was recommended to me by a friend in the field: https://dmol.pub.
-
Deep neural networks and autoencoders
Andrew White’s online book Deep Learning for Molecules (https://dmol.pub) is a great start if you have some coding Python experience, it has it’s own github (i.e., code examples) as wel as a chapter on variational autoencoders.
- How to get started with molecular discovery?
chemics-examples
Posts with mentions or reviews of chemics-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-17.
-
Chemics v20.4 is now available
Examples: https://github.com/chemics/chemics-examples
What are some alternatives?
When comparing dmol-book and chemics-examples you can also consider the following projects:
fastbook - The fastai book, published as Jupyter Notebooks
shap - A game theoretic approach to explain the output of any machine learning model.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)