- Linz/Graz
- @FrohmannM
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A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Large Concept Models: Language modeling in a sentence representation space
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
LaTeX Thesis and Technical Report Template for Johannes Kepler University Linz
A repository of links with advice related to grad school applications, research, phd etc
Readability-aware automatic lyrics transcription (ALT) evaluation toolkit
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
The lastest paper about detection of LLM-generated text and code
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
The most accurate natural language detection library for Python, suitable for short text and mixed-language text
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
Everything you want to know about Google Cloud TPU
TensorDict is a pytorch dedicated tensor container.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Interactively inspect module inputs, outputs, parameters, and gradients.
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)