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Hi šŸ‘‹, I'm Tassilo

Principial Research Scientist at SAP AI CTO Office

tjklein

tjklein

t_j_klein

  • Iā€™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

Ā tjklein

tjklein

Tassilo Klein's Projects

acl2020-commonsense icon acl2020-commonsense

Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.

backtrader icon backtrader

Python Backtesting library for trading strategies

mapgen2 icon mapgen2

JavaScript version of mapgen2 polygon map generator algorithms

portfoliobacktesting icon portfoliobacktesting

Using backtrader to backtest markowitz's tangency portfolio (max sharpe portfolio) for a set of stock symbols.

pyportfolioopt icon pyportfolioopt

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

pytorch-bertflow icon pytorch-bertflow

Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

quantropy icon quantropy

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

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