AparajeetS/CDC
Numerical solvers, support data, and reproducibility utilities for the Configurational Dispersal Cosmology Paper II draft.
Numerical solvers, support data, and reproducibility utilities for the Configurational Dispersal Cosmology Paper II draft.
3D mineral-system simulation and inference with geophysical data, neural inverse models, Bayesian inference, and spatial validation.
LaTeX/PDF exam practice engine with timed tests, grading, detailed reports, and source-linked study cards.
Aparajeet Shadangi's personal research portfolio: independent research, numerical cosmology, and scientific computing.
Phason Labs research website and controlled benchmarks for ML training diagnostics and evaluation reliability.
Seven executable ML evidence audits: calibration, distribution shift, inference correctness, and software reliability, with reproducible artifacts.
Reproducible cosmological growth-rate benchmark with provenance, covariance accounting, MCMC/bootstrap diagnostics, and numerical validation.
AI safety, evaluation, and research engineering | Aparajeet Shadangi
Public progress dossier for the CDC-GeoK1 geometric cosmology research program
Open protocol for testing whether ML and AI-safety metrics add information beyond cheap baselines.
Agent-ready PyTorch training diagnostics: gradient health, GNS, batch inspection, data quality, plasticity, and early stopping.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step