Algoliterary Encounters: Difference between revisions
From Algolit
| Line 25: | Line 25: | ||
* [[The data (e)speaks]] - espeak installation | * [[The data (e)speaks]] - espeak installation | ||
| + | =====Common public datasets===== | ||
* [[Common Crawl]] | * [[Common Crawl]] | ||
| + | * [[WikiHarass]] | ||
| + | |||
| + | =====Algoliterary datasets===== | ||
* [[Frankenstein]] | * [[Frankenstein]] | ||
* [[Learning from Deep Learning]] | * [[Learning from Deep Learning]] | ||
* [[AnarchFem]] | * [[AnarchFem]] | ||
| − | |||
* [[Tristes Tropiques]] | * [[Tristes Tropiques]] | ||
Revision as of 16:18, 25 October 2017
Start of the Algoliterary Encounters catalog.
Introduction
Algoliterary works
- Oulipo recipes
- i-could-have-written-that
- Obama, model for a politician
- In the company of CluebotNG
Algoliterary explorations
What the Machine Writes: a closer look at the output
How the Machine Reads: Dissecting Neural Networks
Datasets
- Many many words - introduction to the datasets with calculation exercise
- The data (e)speaks - espeak installation
Common public datasets
Algoliterary datasets
From words to numbers
Special Focus: Word Embeddings
Different portraits of word embeddings
Inspecting the technique
- word2vec_basic.py - in piles of paper
- softmax annotated
- Reverse Algebra
How a Machine Might Speak
Sources
Code
Bibliography
- Algoliterary Bibliography - Reading Room texts