alkalait

# batch, time, bands, height, width
B, T, C, H, W = x.shape
C_o = 32  # hyperparam

F = lambda i, o, g=1:
    nn.Conv2d(in_channels=i,
              out_channels=o,
              kernel_size=3, 
              padding='same',
              groups=g)

calstad

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.