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Classroom Contents
Machine Learning-Based Design of Proteins and Small Molecules
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- 1 Intro
- 2 Why do we want to do this
- 3 Proteins
- 4 Directed Evolution
- 5 How to think about this
- 6 First approach
- 7 Modelbased optimization
- 8 Distribution estimation
- 9 Challenges
- 10 Black Holes
- 11 Panda
- 12 Gibbon
- 13 Banana
- 14 Image Generation
- 15 Simulations
- 16 Model Based Optimization
- 17 Collaborations
- 18 Extrapolation
- 19 Domain Adaptation
- 20 Uncertainty Calibration
- 21 Deep Neural Networks
- 22 Expectationmaximization
