Language Model Fine-tuning for Moby Dick
-
Updated
Mar 3, 2019 - Python
Language Model Fine-tuning for Moby Dick
A pigment-inspired colour palette for reading and code, rooted in Moby-Dick. Warm paper, deep ink, eight accent hues named after the crew of the Pequod.
Using probabilistic matrix factorization to operationalize Harrison Hayford's draft hypotheses of Moby-Dick
A Python implementation of the Byte Pair Encoding (BPE) algorithm from scratch for subword tokenization, demonstrated on a real-world text corpus using NLTK.
To associate your repository with the moby-dick topic, visit your repo's landing page and select "manage topics."