Awesome-Swiss-German
Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
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Download Latest Version (.zip)- intro.yml
- FUNDING.yml
- README.md
- bern.txt
- W Nuss Vo Buempliz.py
- buendnertuetsch.txt
- festivalLove-eng.ipynb
- french.txt
- map.txt
- jugendsprache.txt
- festivalLovekr.ipynb
- high-kr.py
- malLuege.py
- luzern.txt
- BlueBike.txt
- FestivalLove.ipynb
- fremdi_fรผrenand.ipynb
- high.py
- i_ha's_immer_gwรผsst.ipynb
- JohnJuno.ipynb
- lena.ipynb
- malleuge.txt
- panama.txt
- Sie het en traum gha.txt
- Teil_Vo_Dir.ipynb
- teleskop.py
- valencia.ipynb
- zuerich.txt
- zuerichbs.txt
- zuerichII.txt
- zug.txt
- dictionary.py
- Sandkeusch.py
- curve.d.ts
- index.d.ts
- ios.d.ts
- siriwave.esm.js
- siriwave.esm.min.js
- siriwave.umd.js
- siriwave.umd.min.js
- algorithms.jpeg
- allonmanger.jpeg
- aฬr_det_okej.jpeg
- aฬr_du_troฬtt.jpeg
- coop_isch.jpeg
- deepjudge.jpeg
- gaahtsdir.jpeg
- git.jpeg
- github.jpeg
- ihanfrag.jpeg
- images.png
- jag_foฬrsoฬrker_.jpeg
- lemma.jpeg
- nicht_verstanden.jpeg
- porca_madonna.jpeg
- schw.jpeg
- sdf.jpeg
- swe.jpeg
- talar_du_svenska.jpeg
- untterregle.ogg
- warum.jpeg
- wass.jpeg
- WhatsApp Image 2022-10-15 at 21.00.13.jpeg
- sound.ogg
- untterregle.ogg
- 064CDE1B-100F-4622-9315-64102FEE13BF.mov
- 24A09B1E-993A-4156-88B8-D97B3B865D54.mov
- 56454BB0-84AB-4B8C-886D-190CFB7250C4.mov
- 70354CEC-7211-4214-B3EA-C83E643B31C2.mov
- FEC89FAE-2A9D-4673-BBDD-83EF7D246C33.mov
- francais.mp3
- DE8AEA88-CE5D-42A5-BDE3-8A1FD5877C72.mov
- italian.mp3
- 56454BB0-84AB-4B8C-886D-190CFB7250C4.mov
- video.mov
- alphabet.txt
- lstm.png
- audio.py
- ch_De_prep.py
- corpus_cleaning.py
- finden_files.py
- folien.py
- prep_vocab.py
- prepare_data.py
- shuffle_split.py
- utf_8.sh
- deepspeech-swiss-german.pdf
- DeepSpeech.md
- chrรผtertee.java
- GAN.md
- semantiks.md
- word2vec.md
- EIDGENOSSENSCHAFT.md
- geschichte.md
- Gewaltenteilung_Im_Rechtsstaat.md
- Fรผr immer uf di.md
- Patent Ochsner - Fuฬr immer uf di.mp3
- .gitignore
- cake.less
- Geburi.md
- loading.css
- assignment.md
- cl.md
- example.py
- number.py
- Intro.ipynb
- K_mean_clustering.ipynb
- text_data.ipynb
- answer.java
- answer.txt
- answerII.py
- hints.txt
- question.txt
- answer.py
- question.txt
- answer.c
- hints.txt
- question.txt
- ans.py
- answer.txt
- hints.txt
- question.txt
- answer.txt
- hints.txt
- question.txt
- answer.py
- ans.c
- ans.java
- answer.txt
- hints.txt
- question.txt
- hints.txt
- problem.txt
- pseudocode.py
- renatoKaiser.txt
- Kampf gegen die Suchttxt
- KampfSucht.txt
- context.ts
- ios9_curve.ts
- klassich.ts
- read-Swiss-German.py
- .gitignore
- GPT3api.iml
- miscellanious.xml
- modules.xml
- profil_einstellungen.xml
- projeckt_vorgaben.xml
- requirements.md
- vcs.xml
- .gitignore
- Dockerfile
- mini.py
- openAI.py
- login.txt
- bรผnzli.md
- quiz.md
- .eslintrc
- .gitignore
- .prettier
- Install
- LICENSE
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/esthicodes/Awesome-Swiss-German
Downloads the entire project code from GitHub to your computer.
cd Awesome-Swiss-German
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install structural_diversity_index==0.0.3
Installs the package published on PyPI directly โ no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -f swissDeutschBot/Dockerfile -t awesome-swiss-german .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 awesome-swiss-german
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
// repository documentation
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