dmol-book
TensorFlow-Examples
| dmol-book | TensorFlow-Examples | |
|---|---|---|
| 5 | 2 | |
| 582 | 43,236 | |
| - | - | |
| 3.4 | 0.0 | |
| 11 months ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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dmol-book
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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
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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.
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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?
TensorFlow-Examples
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Keras vs. TensorFlow
A linear regression model
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Tensorman and RTX 30-Series GPU's
When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.
What are some alternatives?
fastbook - The fastai book, published as Jupyter Notebooks
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
shap - A game theoretic approach to explain the output of any machine learning model.
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
pyVHR - Python framework for Virtual Heart Rate
chemics-examples - Examples of using the Chemics package for Python
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.
rmi - A learned index structure
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]