Nathaniel Saul sauln

## TDA_resources.md

      
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                List of resources for TDA
              
          
    Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.
Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

Topology and Data by Gunnar Carlsson
Barcodes: The Persistent Topology of Data by Robert Ghrist

Other Papers and Web Resources


Extracting insights from the shape of complex data using topology A good introductory paper in Nature on the Mapper algorithm.


## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License

Updated by Nathaniel Saul 2/8/2016 - Runs in Python3.4
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License

	Updated by Nathaniel Saul 2/8/2016 - Runs in Python3.4
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file