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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

Jeremy Tan's Projects

aiomql icon aiomql

Asynchronous Python Library For MetaTrader 5

algoloop icon algoloop

Windows desktop algo trading with QuantConnect Lean engine.

bibliqal icon bibliqal

Question Answering Engine on Reknown Bible Commentaries

bizfinder icon bizfinder

Search for Businesses / Branches in Singapore

bon icon bon

Code for Boundary Optimizing Network (BON): https://arxiv.org/abs/1801.02642

casie icon casie

CyberAttack Sensing and Information Extraction

cholan icon cholan

CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

datamine_python icon datamine_python

Package for interacting with CME Datamine historical Market Data repository and Alternative Data source for CME Group Markets.

doc-role-filler icon doc-role-filler

Refactored version of Multi-granularity Document-Level Event Role Filler Extraction

hmm_trading icon hmm_trading

Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.

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