https://github.com/autoresearch/autora-experimentalist-falsification
An AutoRA Experimentalist for falsification sampling
https://github.com/autoresearch/autora-experimentalist-falsification
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Repository
An AutoRA Experimentalist for falsification sampling
Basic Info
- Host: GitHub
- Owner: AutoResearch
- License: mit
- Language: Python
- Default Branch: main
- Size: 1.7 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 2
- Releases: 10
Metadata Files
README.md
AutoRA Falsification Experimentalist
The falsification pooler and sampler identify novel experimental conditions $X'$ under which the loss $\hat{\mathcal{L}}(M,X,Y,X')$ of the best candidate model is predicted to be the highest. This loss is approximated with a multi-layer perceptron, which is trained to predict the loss of a candidate model, $M$, given experiment conditions $X$ and dependent measures $Y$ that have already been probed:
$$ \underset{X'}{argmax}~\hat{\mathcal{L}}(M,X,Y,X'). $$
Quickstart Guide
You will need:
python3.8 or greater: https://www.python.org/downloads/
Falsification Experimentalist is a part of the autora package:
shell
pip install -U autora["experimentalist-falsification"]
Check your installation by running:
shell
python -c "from autora.experimentalist.falsification import falsification_pool"
Owner
- Name: Autonomous Empirical Research Initiative
- Login: AutoResearch
- Kind: organization
- Website: www.empiricalresearch.ai
- Repositories: 12
- Profile: https://github.com/AutoResearch
We strive to enhance and accelerate scientific discovery by automating steps in the empirical research process.