Courses

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

• pTFCE (spisakt.github.io)
• Michael Sereno’s Website (UCSD)
• Deep Learning Playlist (YouTube)
• EE263 - Computational Mathematics for Engineers (Stanford)
• Dementia Research (app2app.org)
• Andrew Jahn’s YouTube Channel
• Systems Programming Playlist (YouTube)
• Neoeno4242’s YouTube Channel
• Deep Learning Hardware Guide - Tim Dettmers
• Multi-GPU Rosetta Stone
• Using TensorFlow and TensorBoard with Docker
• Batch Normalization Layer Guide
• David Abel’s Blog
• FairML: Auditing Black-Box Predictive Models
• Toward Ethical, Transparent, and Fair AI/ML - Critical Reading List
• Dive into Deep Learning
• CS217: Advanced NLP
• Deep Molecular Machine Learning Book
• Lil’Log - Lilian Weng
• Mathematical Foundations for Data Analysis (YouTube)
• Mathematics for Machine Learning (YouTube)
• CSCsch YouTube Playlists
• Stanford Medical AI
• Machine Learning & AI Playlist
• Neural Networks Explained (YouTube)
• GeoMedia Tutorials
• How Far Away Is It? (YouTube)
• Tamara Munzner’s Information Visualization Course
• Tamara Munzner (YouTube)
• Applied Algebraic Topology Research Network (YouTube)
• VIOS Science - DREAM 2021 Tutorials
• MICCAI 2022 Tutorial on LWLS
• Group Equivariant Deep Learning
• MR Physics with Pulseq - GitHub
• MRI Distortion Toolkit - Image X Institute
• Multi-view geometry
• Brains, Minds, and Machines (MIT OCW)
• Systems Programming (YouTube)
• Designing and Analysing fMRI Experiments
• FMRI Summer Course 2024
• Tensor Calculus - Robert Davie
• MIT 18.650 Statistics for Applications, Fall 2016
• MIT 6.172 Performance Engineering of Software Systems, Fall 2018
• MIT 16.687 Private Pilot Ground School, IAP 2019
• MIT STS.042J Einstein, Oppenheimer, Feynman: Physics In The 20th Century, Fall 2020
• MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
• Lashkari’s Research Group
• Bright Side of Maths
• Utah SoC Computational Topology
• MIT 18.S190 Introduction To Metric Spaces, IAP 2023
• Group Equivariant Deep Learning (UvA - 2022)
• Lie groups
• Riemann and Gauss meet Asimov: A tutorial on Geometric methods in robot learning, optimization, and control
• ROB 530 W22 - Mobile Robotics
• Richard Southwell - Playlists
• ICTP Diploma - Partial Differential Equations - Giovanni Bellettini
• ICTP Diploma - Topology - Bruno Zimmermann
• ICTP Diploma - Differential Geometry - Claudio Arezzo
• Symplectic geometry & classical mechanics
• Parallel Computing Stanford
• CS217: Advanced NLP (Stanford)
• Deep Learning for Language and Control (UVA)
• 15-386 Neural Computation
• (15-874) Machine Learning from Neural Cortical Circuits
• 86-375/675 Computational Perception
• 86-712 Computational Neuroscience of Vision
• Textbook: Dynamic Programming and Optimal Control
• CMU 15-889e: Real Life Reinforcement Learning
• Bandit Algorithms
• http://www.cs.toronto.edu/~duvenaud/courses/csc2541/
• CS 294 Deep Reinforcement Learning, Fall 2015
• schedule.numbers
• Index of /sutton/609 dropbox
• SageMath - Open-Source Mathematical Software System
• How University
• Professor Richard Zemel
• CGI Programming With Apache and Perl on Mac OS X
• The Lecturio Online Medical Library – Your Source for Medical Knowledge

• [Lecture Notes

  Principles of Discrete Applied Mathematics

  Mathematics

  MIT OpenCourseWare](https://ocw.mit.edu/courses/mathematics/18-310-principles-of-discrete-applied-mathematics-fall-2013/lecture-notes/)

• [Lecture Notes

  Neural Coding and Perception of Sound

  Health Sciences and Technology

  MIT OpenCourseWare](https://ocw.mit.edu/courses/health-sciences-and-technology/hst-723j-neural-coding-and-perception-of-sound-spring-2005/lecture-notes/)

• Topology, Geometry and Diff Geometry
• Mathematics for Computer Science
• Design and Analysis of Algorithms
• Introduction to Algorithms

• [Lecture Notes

  Design and Analysis of Algorithms

  Electrical Engineering and Computer Science

  MIT OpenCourseWare](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/)

• Introduction to Algorithms (SMA 5503)
• Advanced Data Structures

• [Video Lectures

  Mathematical Methods for Engineers II

  Mathematics

  MIT OpenCourseWare](https://ocw.mit.edu/courses/mathematics/18-086-mathematical-methods-for-engineers-ii-spring-2006/video-lectures/)

• [Video Lectures

  Computational Science and Engineering I

  Mathematics

  MIT OpenCourseWare](https://ocw.mit.edu/courses/mathematics/18-085-computational-science-and-engineering-i-fall-2008/video-lectures/)

• (1) Graph Sparsification II: Barrier Functions and Rank-one Updates - YouTube
• Algebraic Graph Theory: Chris Godsil, Gordon F. Royle: 9780387952208: Books - Amazon.ca
• Simons Institute - YouTube
• Algebraic Graph Theory
• Introduction to Graph Theory
• Introduction to Computer Science and Programming in Python
• Linear Algebra
• Differential Equations, Spring 2006
• MIT 18.03SC Differential Equations, Fall 2011
• Diff Equations Gilbert Strang
• Algebraic Topology

• [Lec 1

  MIT 18.03 Differential Equations, Spring 2006 - YouTube](https://www.youtube.com/watch?v=XDhJ8lVGbl8&list=PL64BDFBDA2AF24F7E&index=3)

• [CS 15-458/858B: Discrete Differential Geometry – CARNEGIE MELLON UNIVERSITY

  SPRING 2016

  TUE/THU 12:00-1:20

  GHC 4211](http://brickisland.net/DDGSpring2016/)

• Recitation Linear Algebra, Fall 2011
• MIT 6.854 (Advanced Algorithms), Spring 2016
• James Cook - YouTube
• Topology & Geometry by Dr Tadashi Tokieda
• Riemannian Geometry
• Lie Groups
• Abstract Algebra

• [Differential Topology

  Lectures by John W. Milnor - YouTube](https://www.youtube.com/playlist?list=PLelIK3uylPMFHC6Xny11XFXgwwtv9_PO3)

• MathHistory
• Manifolds and Tensors
• Vector Calculus @ UNSW Sydney. Dr Chris Tisdell - YouTube
• elo.mastermath.nl
• 18.409 Materials
• Alexandra Kolla, University of Illinois at Urbana-Champaign

• [IAS- Princeton

  Video Lectures](https://video.ias.edu/sm)

• MIT 18.01 Single Variable Calculus, Fall 2007
• MIT 18.02 Multivariable Calculus, Fall 2007
• MIT 18.01SC: Homework Help for Single Variable Calculus - YouTube
• Differential Geometry (UNSW)
• MSRI
• Spectral Graph Theoy and Algorithmic Applications
• CS359G: Graph Partitioning and Expanders

• [Lecture Notes

  in theory](https://lucatrevisan.wordpress.com/lecture-notes/)

• Luca Trevisan
• CS294: Graph Partitioning, Expanders, and Spectral Methods
• CS 274: Computational Geometry - Shewchuk - UC Berkeley
• Advanced Algorithms
• Gusfield 2
• Gusfiled 1
• Tardos
• Algorithmic Game Theory (CS364A), Fall 2013
• Algorithmic Game Theory (CS364A, Fall 2013) - YouTube
• Math Insight
• Advanced course eigenvalue techniques in graph theory
• Facultat de Matemàtiques i Estadística
• LeonhardEuler1 - YouTube
• Fukaya categories and mirror symmetry
• Topics in Differential Geometry
• Topics in Geometric Topology
• Introduction to Mathematical Programming
• Advanced Algorithms
• Particle Physics
• Introduction to Human Behavioral Biology
• Harvard Math
• Charles Bordenave - 1/3 Spectrum of random graphs - YouTube
• Ali Chamseddine - 1/4 Spectral Geometric Unification - YouTube
• Noncommutative Geometry and Cosmology - YouTube
• Institut des Hautes Études Scientifiques (IHÉS) - YouTube
• Faculty of Khan - YouTube
• schang1971 - YouTube
• Math 583 B - Spring 1999
• model of computation book
• Adrian Vetta
• Book of Proof
• Algorithms and Data Structures II [Course] - Princeton - YouTube
• Algorithms and Data Structures I [Course] - Princeton - YouTube
• Group Theory
• Galois Theory
• Ring Theory
• Functional Analysis
• Field Theory
• Number Theory
• Professor Leonard - YouTube
• Discrete Math
• Erik’s Lectures in 6.849: Geometric Folding Algorithms: Linkages, Origami, Polyhedra (Fall 2010)
• MathDoctorBob - Math Courses
• Spectral Courses
• Spectral Coures 2
• UNSW DSA
• Spectral Graph Theory Course
• How to Become a Pure Mathematician (or Statistician)
• PGM- Daphne Koller
• Stochastic Process MIT
• Math3ma
• Statistics for Applications MIT
• Justin Solomon
• mathematicalmonk
• Sam Drury’s Teaching Page
• Math 222, Course Plan
• Mathematics of Computer Graphics and Virtual Environments - YouTube
• ICTP Mathematics - YouTube
• Qiqi Wang - Numerical Methods
• Ox educ - YouTube
• David Metzler - YouTube
• eigenchris - YouTube
• BayesWorks - YouTube
• Numerical Methods - Jacob Bishop
• MAT137 - YouTube
• Discrete Differential Geometry - Helping Machines (and People) Think Clearly about Shape - YouTube
• The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry & … - YouTube
• Daniel Spielman: Part 1
• Gravity Lecture I - Manifolds and Tensors
• Tensors: A Geometric View
• What is a Manifold? - Mikhail Gromov
• How (and Why) to “Read” Big Graphs - YouTube
• Fast Regression Algorithms Using Spectral Graph Theory - YouTube
• Techniques for combinatorial optimization: Spectral Graph Theory and Semidefinite Programming - YouTube
• Tensors/tensor products over-mystified - YouTube
• Riemannian manifolds, kernels and learning - YouTube
• What is a Manifold? - Mikhail Gromov - YouTube
• Chaos Theory PBS - YouTube](https://www.youtube.com/watch?v=eJAs9Qr359o)
• Hausdorff Center for Mathematics - YouTube
• Andrew Wiles, Curves of Genus One - YouTube
• Peter Scholze - Locally symmetric spaces, and Galois representations (1) - YouTube

• [Tadashi Tokieda

  Toys in Applied Mathematics

  Radcliffe Institute - YouTube](https://www.youtube.com/watch?v=f07KzjnL2eE)

• Mathematics of Juggling - YouTube
• Jean-Pierre Serre: How to write mathematics badly - YouTube
• LMS Popular Lecture Series 2008, Toy models, Dr Tadashi Tokieda - YouTube
• GreshamCollege - YouTube
• Philosophy Tube - YouTube
• It’s so blatant - YouTube
• PBS Nova Documentary Collection - YouTube
• Laplacian Eigenvalues, Metric Uniformization, and Incidence Geometry - YouTube
• Symplectic and Spectral Theory of Integrable Systems - Alvaro Pelayo - YouTube
• Spectral geometry and spectral action, Bruno Iochum - YouTube
• Introduction to the work of Mirzakhani - YouTube
• From Euclid to modern geometry: Do the angles of a triangle really add up to 180˚? (28 Feb 2012) - YouTube

• [Reason for a blog

  njwildberger: tangential thoughts](https://njwildberger.com/2012/08/02/reason-for-a-blog/)

• Philosophical Overdose - YouTube
• neozhaoliang/pywonderland: Render beautiful images or animate interesting algorithms in mathematics with Python.
• Alexander Grothendieck - YouTube
• CEMC - Past Contests - Mathematics and Computing Contests - University of Waterloo