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RWTH Aachen University, AppTek
- Aachen, Germany
- https://www-i6.informatik.rwth-aachen.de/~thulke/
- in/david-thulke-646424276
- @davidthulke
- https://www.semanticscholar.org/author/David-Thulke/17687726
Stars
Minimalistic large language model 3D-parallelism training
Github implementation of https://reports.chatclimate.ai/
This repository contains the code for the paper "Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering".
Code for DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access.
JackTemaki / MiniReturnn
Forked from rwth-i6/returnnLightweight Variant of RETURNN
DSTC11 Track 5 - Task-oriented Conversational Modeling with Subjective Knowledge
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Code for the paper "Does Joint Training Really Help Cascaded Speech Translation?" (EMNLP 2022)
Bundle Python executable with preloaded modules
Open, modular controller platform for portafilter espresso machines
An elaborate and exhaustive paper list for Named Entity Recognition (NER)
SeqScore: Scoring for named entity recognition and other sequence labeling tasks
Self-Supervised Speech Pre-training and Representation Learning Toolkit
DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
LUKE -- Language Understanding with Knowledge-based Embeddings
Papers & presentation materials from Hugging Face's internal science day
The RWTH extensible training framework for universal recurrent neural networks