learning

A curated collection of books, courses, tutorials, and other resources across computational imaging, mathematics, machine learning, neuroscience, and computer science.

Books

  • Shapes and Diffeomorphisms
  • MedIA Riemannian Geometry
  • Jean Gallier
  • Friston and Ashburner
  • Vision Science Stanford (https://foundationsofvision.stanford.edu/)
  • Medial Representations
  • Solid Shape
  • Deep Learning
  • Topology Book and Notes
  • MedIA 2020 Handbook
  • Differential Geometry deCarmo
  • Brain Network Neuroscience
  • Hastie book
  • Computational Optimal Transport
  • Geometric Deep Learning
  • https://textbook.nipraxis.org/mean_test_example.html
  • https://www.damtp.cam.ac.uk/user/tong/vc.html

Courses

  • Human-brain MIT
  • Psychology MIT
  • mri-physics-youtube: Radiology Tutorials
  • fsl course
  • CBMM MIT
  • BrainMap MIT
  • SCAN Sydney
  • Stephen Pizer
  • Discrete Differential Geometry CMU
  • Milnor lectures (Differential Topology)
  • Geometric Deep Learning: Bronstein
  • Shape Analysis MIT
  • Variational Methods for computer vision
  • Operating Systems
  • Optimization
  • Algorithms
  • fMRI design and analysis UCL
  • Learn C and C++
  • ODEs/PDEs
  • MIT Healthcare
  • BE 581 at Penn
  • GPU Programming at Penn
  • Neural ODEs
  • Computer Graphics
  • Databases
  • PGM
  • Functional Analysis MIT
  • Real Analysis MIT
  • Kernel Methods
  • Graph Neural Networks Courses: Penn and Stanford
  • Deep Unsupervised Learning
  • Meta-learning Chelsea Finn
  • Numerical Tours
  • MIT missing CS semester

Tutorials