ScaDS.AI
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- Leipzig / Dresden
- https://www.scads.ai
- @sca_ds
Popular repositories Loading
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BIDS-lecture-2024
BIDS-lecture-2024 PublicTraining resources for Students at Uni Leipzig who want to dive into bio-image data science with Python. The material will develop between April and July 2024
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Match-R-CNN-Repoduction
Match-R-CNN-Repoduction PublicReproducing the fashion image categorization and retrieval baseline approach from https://github.com/switchablenorms/DeepFashion2 / https://arxiv.org/pdf/1901.07973.pdf
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MovieGraphBenchmark
MovieGraphBenchmark Public📽 Benchmark datasets for Entity Resolution on Knowledge Graphs
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generative-ai-notebooks
generative-ai-notebooks PublicA collection of Python Jupyter Notebooks with Generative Artificial Intelligence related contents
Repositories
- generative-ai-notebooks Public
A collection of Python Jupyter Notebooks with Generative Artificial Intelligence related contents
ScaDS/generative-ai-notebooks’s past year of commit activity - prompt-engineering-basics-2024 Public
A collection of Jupyter notebooks explaining prompt engineering
ScaDS/prompt-engineering-basics-2024’s past year of commit activity - faster-whisper-stt Public
Simple and basic python function for transcribing audio in realtime based on faster-whisper
ScaDS/faster-whisper-stt’s past year of commit activity - BIDS-training-2024 Public
ScaDS/BIDS-training-2024’s past year of commit activity - BIDS-lecture-2024 Public
Training resources for Students at Uni Leipzig who want to dive into bio-image data science with Python. The material will develop between April and July 2024
ScaDS/BIDS-lecture-2024’s past year of commit activity - csv_to_tex Public
ScaDS/csv_to_tex’s past year of commit activity - famous_computer_science_quotes Public
In this Jupyter Book we collect famous quotes from computer scientists. The repository serves training purposes at the DataWeek Leipzig 2024: We learn how to fork, send pull-requests and merge contents on github.com.
ScaDS/famous_computer_science_quotes’s past year of commit activity - prompting-with-api Public
This jupyter-based and voilá-ready prompting app gives the ability to use an api key for prompting workshops with an unlimited number of participants (while keeping in mind that some models cost per request). It bridges the temporary situation that there are no institutional LLM accesses yet and solutions such as GPTX are still a work in progress.
ScaDS/prompting-with-api’s past year of commit activity