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srivhash/README.md

👋 Hi, I’m Ashutosh Srivastava

LinkedIn Email GitHub Twitter


💻 Tech Stack:

C C++ HTML5 CSS3 Java JavaScript Markdown TypeScript Python AWS Azure WebGL Vue.js Vite React Strapi Web3.js Keras Matplotlib NumPy Pandas PyTorch scikit-learn Scipy TensorFlow GitHub Actions AmazonDynamoDB Firebase MongoDB MySQL Postgres


Github Contributions Snake Game

github-snake

📚 Publications & Research

  • Robust Root Cause Diagnosis using In-Distribution Interventions
    L. Nagalapatti, A. Srivastava, S. Sarawagi, A. Sharma. ICLR 2025.
    📄 Paper | 📥 ArXiv

🏆 GitHub Trophies

“The best way to predict the future is to invent it.” – Alan Kay

Thanks for visiting—let’s build something impactful together!

Pinned Loading

  1. dowhy dowhy Public

    Forked from py-why/dowhy

    DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

    Jupyter Notebook

  2. online-judge online-judge Public

    JavaScript

  3. text-2-img text-2-img Public

    experiments on text to image models

    Jupyter Notebook

  4. openai/weak-to-strong openai/weak-to-strong Public

    Python 2.5k 307

  5. weak-to-strong weak-to-strong Public

    Forked from openai/weak-to-strong

    weak to strong generalisation for superalignment

    Python 1

  6. erdogant/bnlearn erdogant/bnlearn Public

    Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

    Jupyter Notebook 593 54