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Hi there 👋

🧑‍🔬 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 (github), a Question Answering platform that allows you to rapidly make your QA models available to the public and conduct qualitative analysis.
👨‍💻 I am interested in developing efficient, scalable and easy-to-use Machine Learning applications.

Tim's GitHub stats

Tim Baumgärtner's Projects

acl-search icon acl-search

A search-as-you-type web app for the ACL Anthology.

axcell icon axcell

Tools for extracting tables and results from Machine Learning papers

belief icon belief

Implementation of Master Thesis on "Belief State for Visually Grounded, Task-Oriented Neural Dialogue Model"

colbert icon colbert

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

dial-lv icon dial-lv

Re-implementation of "Latent Variable Dialogue Models and their Diversity" paper by Kris Cao & Stephen Clark. https://arxiv.org/abs/1702.05962

easy21-rl icon easy21-rl

Easy21 assignment from David Silver's RL Course at UCL

instascrape icon instascrape

🚀 A fast and lightweight utility and Python library for downloading posts, stories, and highlights from Instagram.

language icon language

Shared repository for open-sourced projects from the Google AI Language team.

linregjs icon linregjs

Linear Regression and Visualization with JavaScript

machine icon machine

Codebase for the i-machine-think project, a modular and fully tested Pytorch implementation for seq2seq models.

nlp icon nlp

🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

nlpeer icon nlpeer

Code associated with NLPeer: A unified resource for the study of peer review

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sentence-vae icon sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

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