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About
🧑🔬 I am a PhD Student at the Ubiquitous Knowledge Processing Lab at TU Darmstadt. My research is on Natural Language Processing, focussing on scientific Question Answering.
👨💻 I am one of the main developers of UKP-SQuARE, a Question Answering platform that allows you to rapidly make your QA models available to the public and conduct qualitative analysis.
Services
👨💼 Happy to consult how to use state-of-the-art NLP models, particularly using large, pre-trained language models such as (BERT, T5, GPT) in tasks such as Information Retrieval, Text Classification, Natural Language Generation. Also on system design when Machine Learning models are involved.
📝 Need an efficient, clean and scalable implementation of that latest research paper? Happy to help you out!
1 sponsor has funded timbmg’s work.
Let's go 🚀
Featured work
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UKP-SQuARE/square-core
SQuARE: Software for question answering research.
Python 72 -
timbmg/Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Python 587 -
timbmg/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Python 589