Guru Prasaath S
@GURU1001SAI systems should not merely predict the world — they should continuously model its structure, revise that structure as reality changes, and reason about interv
Language Breakdown
Lines of code distribution across 7 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
Collaboration Network
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Repos
9
PRs
0
Growth
+18%
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Contribution activity over the past year
dracoloveforall-crypto
@dracoloveforall-crypto
Dean Amrane
@damrane
Shota DEGUCHI
@ShotaDeguchi
vlwq1112
@sVltege
Emi Minamitani
@eminamitani
Top Repositories
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
dashboard that formalizes the empirical findings of Huang et al. (2024) into a true structural causal model (SCM).
profile
Real-time adaptive causal intelligence framework for streaming systems, interventions, and structural observability.
UTDTB v5 — A physics-grounded, causally-structured, uncertainty-aware turbofan digital twin benchmark for prognostics, domain adaptation, and physics-informed ML.
Physics-Constrained Meta-Learning for Aerospace Prognostics (Research Platform)
Discovered the exact inverse-cube (1/r^3) law of a simulated universe.
Engineered a custom CNN-LSTM-Attention hybrid neural network to predict the Remaining Useful Life (RUL) of turbofan engines.
Open Source Impact
Contributions to external projects