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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair Extraordinaire

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair Extraordinaire

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@Entangled-Causality

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diksha-shrivastava13/README.md

Diksha Shrivastava

View My Work

I’m an AI Research Engineer exploring the intersection of AI, reasoning, and scientific discovery. For the past year, I’ve been working on bridging language models’ internal representations with structured models of complex worlds, enabling them to uncover deep causal relationships and fundamental rules governing vast systems—critical for AI-driven scientific discovery. My research interests include AI for Scientific Discovery, Continual Learning in Complex World Models, Decision-Making in Language Models, and Language Model Reasoning.

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  1. graph-vector-rag-methods graph-vector-rag-methods Public

    A collection of all available Graph-Vector Hybrid RAG Approaches, with custom versions born out of curiosity, a quickly implementable interface, data connectors, visualisers and performance benchma…

    Python 3

  2. ivy ivy Public

    Forked from ivy-llc/ivy

    The Unified Machine Learning Framework

    Python 1

  3. JuliaMind JuliaMind Public

    ML Framework in Julia

    1

  4. bayesian-flow-networks bayesian-flow-networks Public

    Forked from nnaisense/bayesian-flow-networks

    This is the official code release for Bayesian Flow Networks.

    Python

  5. Celestial-Navigation Celestial-Navigation Public

    Jupyter Notebook

  6. dps-bmz-test dps-bmz-test Public

    Python