Bibliography (17):

1. Monstrous Moonshine

2. https://www.quantamagazine.org/mathematicians-chase-moonshine-string-theory-connections-20150312/

3. Monstrous Moonshine: The first 25 years

4. 100 Years to Solve an Integral

5. OEIS: A Handbook of Integer Sequences 50 Years Later

6. CLIP: Connecting Text and Images: We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the ‘zero-shot’ capabilities of GPT-2 and GPT-3

7. The Pile: An 800GB Dataset of Diverse Text for Language Modeling

8. date-guesser.py

9. Wikipedia Bibliography:

   1. Monstrous moonshine

   2. Monster group

   3. J-invariant  :

      https://en.wikipedia.org/wiki/J-invariant

   4. https://en.wikipedia.org/wiki/Secant  :

      https://en.wikipedia.org/wiki/Secant

   5. On-Line Encyclopedia of Integer Sequences

   6. Similarity learning § Metric learning  :

      https://en.wikipedia.org/wiki/Similarity_learning#Metric_learning

   7. ArXiv

   8. Data augmentations  :

      https://en.wikipedia.org/wiki/Data_augmentations

   9. Nearest neighbor search