demo: https://elenalenaelena.github.io/machine-learning-viz/
This repository is influenced mainly by the following sources:
- Jacob Devlin and Ming-Wei Chang and Kenton Lee and Kristina Toutanova (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, https://arxiv.org/abs/1810.04805
- Maaten, L.v.d. and Hinton, G. (2008). Vizualizing Data using t-SNE, Journal of Machine Learning Research, Vol 9(Nov), pp. 2579—2605, http://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf
- BERT for dummies, tutorial on how to load the pre-trained BERT model in a PyTorch notebook and fine-tune it on your own dataset for solving a specific task by Michel Kana
- Creating a responsive graph with Angular and D3, tutorial on d3 + Angular by Jean-Philippe Lemieux
- Tensorflow Quickstart, tutorial on Tensorflow on fireship.io
- Predicting Movie Reviews with BERT on TF Hub.ipynb, Jupyter Notebook on NLP classification task
- Visualizing BERT embeddings with t-SNE
- Visualizing Algorithms, blogpost on viz adapting Mike Bostock's talk at Eyeo 2014
- The Illustrated BERT, ELMo, and co., blogpost on Google BERT by Jay Alammar
- Multi-label Text Classification using BERT – The Mighty Transformer, blogpost on Google BERT by Kaushal Trivedi
- Introduction to Flair for NLP, blogpost on FlairNLP Framework by Sharoon Saxena
- Visualization for Machine Learning (Google Brain), video on ML Viz by Google
- How to Use t-SNE Effectively, article on t-SNE by Google Researchers
- How to deploy an Angular App, blogpost on deploying Angular app via gh-pages by Yann Mulonda
- Zalando Research FlairNLP, multilingual, pretrained models
- standfordnlp, multilingual, pretrained models
- Google BERT, language-independent, pretrained models
- fastai, deep learning framework for training models
- Fernanda Viégas, combining Research, Data Viz, ML, AI and Art
- D3.js Graph Gallery, overview and d3 example gallery
- The Data Vizualization Catalogue, overview of Data Viz functions and charts
- Embedding Projector, Google AI team's interactive visualization of ML algorithms
- Plethora Project, open-source design studio for computational architecture and design