Catégories
Notes

ML Deployment Decision Tree

https://pakodas.substack.com/p/ml-deployment-decision-tree

ML Deployment Decision Tree
Choose the right tool for your job
pakodas.substack.com
Catégories
Notes

LXMERT Demo.ipynb – Colaboratory

https://colab.research.google.com/drive/18TyuMfZYlgQ_nXo-tr8LCnzUaoX0KS-h?usp=sharing

Catégories
Notes

14 October, 2020 22:06

https://www.machinelearningplus.com/nlp/topic-modeling-visualization-how-to-present-results-lda-models/

Topic modeling visualization – How to present results of LDA model? | ML+ – Machine Learning Plus
In this post, we discuss techniques to visualize the output and results from topic model (LDA) based on the gensim package.. Topic modeling visualization – How to present the results of LDA models?
www.machinelearningplus.com
Catégories
Notes

GitHub CLI 1.0 is now available

https://github.blog/2020-09-17-github-cli-1-0-is-now-available/

GitHub CLI 1.0 is now available – The GitHub Blog
GitHub CLI brings GitHub to your terminal. It reduces context switching, helps you focus, and enables you to more easily script and create your own workflows. Earlier this year, we announced the beta of GitHub
github.blog
Catégories
Notes

Implementation of abstractive summarization

https://github.com/JRC1995/Abstractive-Summarization

GitHub – JRC1995/Abstractive-Summarization: Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention. – JRC1995/Abstractive-Summarization
github.com
Catégories
Notes

Reading list for Awesome Sentiment Analysis papers

https://github.com/declare-lab/awesome-sentiment-analysis

GitHub – declare-lab/awesome-sentiment-analysis: Reading list for Awesome Sentiment Analysis papers
Reading list for Awesome Sentiment Analysis papers. Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago.
github.com
Catégories
Notes

Recommendation system tutorial with python

https://medium.com/towards-artificial-intelligence/recommendation-system-in-depth-tutorial-with-python-for-netflix-using-collaborative-filtering-533ff8a0e444

Catégories
Notes

What I learned from looking at 200 machine learning tools

https://huyenchip.com/2020/06/22/mlops.html

Catégories
Notes

PictureText: Interactive visuals of text | by Mihail Dungarov | Oct, 2020 | Medium

https://medium.com/@mihail.dungarov/picturetext-interactive-visuals-of-text-591e6375c1d6

Catégories
Notes

Transformer-based Encoder-Decoder Models

https://huggingface.co/blog/encoder-decoder