Machine learning for proteins
| Title | Description |
|---|---|
| Machine learning-guided directed evolution for protein engineering | A review covering ML for protein engineering, including an overview of methods, two case studies, and future outlook. |
| Papers on machine learning for proteins | A github repository listing papers on machine learning for proteins. |
General statistics and machine learning
| Title | Description |
|---|---|
| Distribution explorer | A tool to explore commonly-used probability distributions, including information about the stories behind them. |
| Gaussian processes for machine learning | Textbook on Gaussian processes. |
| Beta and Alpha | Michael Betancourt’s many excellent tutorials on probabilistic computing and Bayesian statistics. |
| Visual exploration of GPs | A visual tutorial on GPs that provides good intuition for their behavior. |
I also really like Sam Finlayson’s list of ML resources.
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