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Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Home Page: https://pyportfolioopt.readthedocs.io/

License: MIT License

Shell 0.01% Python 28.00% Jupyter Notebook 71.94% Dockerfile 0.05%

pyportfolioopt's Introduction

Hi 👋, I'm Tassilo

Principial Research Scientist at SAP AI CTO Office

tjklein

tjklein

t_j_klein

  • I’m currently working on:

    • Representation learning in NLP with minimal supervision

      • Paper at ACL 2023 on self-supervised few-shot sentence representation learning.
        arXivView on GitHub
      • Paper at ACL 2022 on self-supervised sentence representation learning.
        arXivView on GitHub

    • Learning with minimal supervision (few-shot, self-supervised)

    • LLM alignment

    • Multi-modal LLMs (advanced reasoning with LLMs, knowledge-grounded LLMs)

  • All of my projects are available at https://tjklein.github.io

Connect with me:

t_j_klein https://www.linkedin.com/in/tassiloklein @tjklein

Languages and Tools:

aws bash blender c cplusplus csharp d3js firebase flask git grafana illustrator linux matlab mongodb objectivec opencv pandas photoshop python pytorch qt scikit_learn seaborn swift tensorflow

tjklein

 tjklein

tjklein

pyportfolioopt's People

Contributors

anchitshrivastava avatar arcaputo3 avatar armbruer avatar bhutraaditya avatar bvonboyen avatar dependabot[bot] avatar dpapakyriak avatar fdabrandao avatar gliptak avatar gpfins avatar gumblex avatar lbrummer avatar mkeds avatar phschiele avatar pmn4 avatar robertmartin8 avatar samatix avatar schneiderfelipe avatar seapea1 avatar stevediamond avatar thenordine avatar tommybark avatar tschm avatar tuantp7 avatar wilm0r avatar

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