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Update README.md with philosophy #75

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Update README.md
Co-authored-by: Adam Li <adam2392@gmail.com>
Signed-off-by: Robert Osazuwa Ness <robertness@gmail.com>
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robertness and adam2392 committed Jan 4, 2023
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Expand Up @@ -24,7 +24,7 @@ DoDiscover prioritizes the workflow over the algorithms and provides default arg

Many cutting-edge causal discovery algorithms rely on deep learning frameworks.
However, deep learning-based causal discovery often requires obscure boilerplate code, complex configuration, and management of large artifacts such as embeddings.
DoDiscover seeks to create abstractions that address these challenges and make deep causal discovery more broadly accessible.
DoDiscover seeks to create abstractions that address these challenges and make deep causal discovery more broadly accessible. Current algorithms are a work-in-progress. We will begin by providing a robust API for the fundamental discovery algorithms.

## Easy interface for articulating causal assumptions

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