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Crystalizing
:octocat:
Crystalizing
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jeremytanjianle/README.md

Hey there, I'm Jeremy

  • I specialize in Natural Language Processing (NLP), Active learning & rapid annotation and Algorithmic trading
  • I typically work with python, torch, SpaCy, Prodigy, transformers, AllenNLP, TimeScaleDB, elasticsearch and docker.

🔗  Contact me on:
ramikrispin

Main projects

NLP

Maybe NLP, as a whole, does not really need bigger transformers. Maybe it needs new architectures and solutions that enable models to use knowledge rapidly and reliably. I specialize in information retrieval and event extraction.

goldenretriever bibliqal fasttext-pytorch oneie

Algorithmic trading

Active algorithmic trader since 2017. The most expensive lesson I've learnt is that that machine learning must be used in very small amounts for trading. Less is more.

bayesian-regression intraday-fx

jeremytanjianle

Popular repositories Loading

  1. event-extraction-oneie event-extraction-oneie Public

    Event extraction of ACE05 dataset

    Python 22 5

  2. Bayesian-Regression-on-Copper Bayesian-Regression-on-Copper Public

    Replicated Trading Strategy in "Bayesian regression and Bitcoin" by Shah and Zhang (2014)

    Jupyter Notebook 6 3

  3. fasttext-in-pytorch fasttext-in-pytorch Public

    Fasttext subword embeddings that can backprop

    Python 2

  4. intraday-fx-dynamics intraday-fx-dynamics Public

    Replicate "Intra-day dynamics of exchange rates" by Kuck & Maderitsch (2018)

    Jupyter Notebook 1

  5. cs5242 cs5242 Public

    Python 1

  6. LSTM_Stock_Modeling LSTM_Stock_Modeling Public

    Forked from boazcogan/LSTM_Stock_Modeling

    Python 1