alan-turing-institute/autoemulate

Update plots to display 95% predictive intervals instead of +/- 2sigma 6 days ago

enhancement good first issue UQ

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Enable lint and formatting for tutorial notebooks about 1 month ago

documentation enhancement good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add `AGENTS.md` to the repo about 2 months ago

documentation good first issue improve-code-quality design principle

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Expand AI use guidelines in contributing docs 3 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Update plot to display any evaluation metric 4 months ago

enhancement good first issue

alan-turing-institute/autoemulate

116

Emulate simulations easily

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Remove log messages from Bayesian Calibration tutorial 5 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add section on use of AI tools in contributors guidelines 5 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add instructions on using pre-commit in contributors section 7 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Update `plot_surface()` `create_and_plot_slice()` to plot 95% coverage instead of variance 8 months ago

enhancement good first issue UQ

alan-turing-institute/autoemulate

116

Emulate simulations easily

Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Test AE on advection-diffusion problem 8 months ago

enhancement good first issue temporal

alan-turing-institute/autoemulate

116

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Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Let user pass train/val/test data split 8 months ago

enhancement good first issue hut101

alan-turing-institute/autoemulate

116

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Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add project email to README 8 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Update dependencies 8 months ago

good first issue packaging

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add device option to Simulator 9 months ago

good first issue improve-code-quality simulator

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Potential bug: Review dependency constraints 9 months ago

bug good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Move tutorials to Colab 9 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Extend developer guide 9 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

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#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Remove normalisation option from SA heatmap plot 10 months ago

good first issue improve-code-quality

alan-turing-institute/autoemulate

116

Emulate simulations easily

Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Add README to case_studies directory 10 months ago

AI Summary: This issue requests the creation of a README file within the `case_studies` directory. The README should offer a brief, high-level overview summarizing the various case studies contained within that directory.

Complexity: 1/5

documentation good first issue

alan-turing-institute/autoemulate

116

Emulate simulations easily

Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

Simplify tutorials 11 months ago

documentation good first issue

alan-turing-institute/autoemulate

116

Emulate simulations easily

Python

#active-learning#aiphys#calibration#emulation#ensemble#gaussian-processes#history-matching#hut23#hut23-1468#mcmc#neural-networks#pytorch#sensitivity-analysis#uncertainty-quantification

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