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
- Foundations of Vision — Stanford
- 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
- Statistical inference example — NiPraxis
- Vector Calculus lecture notes — David Tong
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
- CSC 2541 course page
- 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 Theory 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
- Gusfield 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 Course 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
- 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