pygents

Machine Learning experiments in Python for Aigents project - at the moment, primarily fundamental NLP research grounding further production development in https://github.com/aigents/aigents-java-nlp under the umbrella of Interpretable Natural Language Processing paradigm, see https://aigents.github.io/inlp/

Setting up Jupyter on remote Ubuntu server in the cloud and run it locally

Do this on remote server in the cloud:

1. Make sure you have Python3 pip and vitualenv installed, see https://1cloud.ru/help/linux/ustanovka-jupyter-notebook-na-ubuntu-18-04 (do this only once)
2. git clone https://gitlab.com/aigents/pygents.git (do this only once)
3. cd pygents
4. virtualenv env (do this only once)
5. . env/bin/activate
6. pip install jupyter (do this only once)
7. sudo iptables -A INPUT -p tcp --dport 8887 -j ACCEPT
8. jupyter notebook --no-browser --port=8887

Do this on your local machine:

1. ssh -i <yourkey>.pem -N -f -L localhost:9999:localhost:8887 <yourusername>@<yourhost> (do this in terminal)
2. http://localhost:9999/ (access this in the browser)

Matters of Study

Unsupervised Text Segmentaion and Tokenization

1. Original task singnet/language-learning#255
2. Current progress tokenization.md

Unsupervised Language Grammar and Ontology Learning

1. Original task singnet/language-learning#220
2. Curent progress http://langlearn.singularitynet.io/

Unsupervised Text Generation

1. See https://aigents.github.io/inlp/2021/

Unsupervised Question Answering and Conversational Intelligence

1. See https://aigents.github.io/inlp/2021/

References

https://hostadvice.com/how-to/how-to-install-jupyter-notebook-on-ubuntu-18-04-vps-or-dedicated-server/ https://www.datacamp.com/community/tutorials/installing-jupyter-notebook