Wednesday, February 23, 2020

Grand Collection of Excellent Tutorials

Over the years, when I find a good tutorial or explanation of something, I've been saving a bookmark. Someday I will organize these by subject, but until then here you go!

o Three.js Fundamentals

o An Intuitive Guide to Linear Algebra – BetterExplained

o Finite difference methods for 2D and 3D wave equations

o Visualizing quaternions, an explorable video series

o SciPy Cookbook documentation

o How To Make Custom AI-Generated Text With GPT-2

o The Illustrated Transformer – Visualizing machine learning one concept at a time

o Practical Deep Learning for Coders

o Berkeley AI Materials

o Machine Learning Crash Course | Google Developers

o An Overview of Cryptography

o Circles Sines and Signals - Introduction

o Think DSP – Green Tea Press

o A hands-on introduction to video technology: image, video, codec

o PCA Principal Components Analysis visualized for human beings

o The Deadlock Empire

o Q > Qubit

o Understanding Kalman Filters with Python

o An Interactive Introduction to Fourier Transforms

o Quantum Mechanics (Stanford Encyclopedia of Philosophy)

o Condensed matter nanoscale primer

o Physarum - slime mold patterns

o Fluid dynamic simulation (material point method)

o Visual Introduction to Machine Learning

o Tutorial - What is a variational autoencoder?

o Fluid dynamics tutorial

o Look Ma, No For-Loops: Array Programming With NumPy

o iPython Bokeh Notebooks

o Convolutional neural networks

o Attention and Augmented Recurrent Neural Networks

o Bayes sampling and Markov Chain Monte Carlo tutorial

o How neural networks are trained

o Ring Counter Variations (Counters built with neon tubes and diodes)

o Falstad circuit simulator

o Survey of Alternative Displays

o Python Machine Learning /

o Bayesian Methods for Hackers

o Matplotlib - Python Data Science Handbook

o Drawing from Perlin noise

o A Visual Guide to Evolution Strategies

o Scipy Lecture Notes

o Quantitative Economics

o An Overview of Runestone Interactive

o MCMC (Monte Carlo Markov Chain) sampling for dummies

o Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick

o idyll-lang.github

o SDF Tutorial 1 : box & balloon

o Ordinary Least Squares Regression explained visually

o Semantic Search with Latent Semantic Analysis

o Quaternion tutorial

o Vectors, what even are they? | Essence of linear algebra (video)

o Motion blur in pixel art

o Understanding word vectors

o Tutorial on making interactive tutorials (aka Explorables)

o Visualizing complex analytic functions using domain coloring

o Sine and Cosine explained visually

o Metaballs and Marching Squares

o Statistics for Hackers

o Exploring Bezier and Spline Curves – Richard Fuhr – Medium

o Why Momentum Really Works -- Gradient Descent

o A quick look at Support Vector Machines

o How to Use t-SNE Effectively

o git - the simple guide - no deep shit!

o Seeing Theory -- statistics

o Image Completion with Deep Learning in TensorFlow

o Drawing contour lines: Meandering Triangles

o Understanding Julia and Mandelbrot Sets

o Understanding the Basis of the Kalman Filter

o An Interactive Guide To The Fourier Transform

o The Math Trick Behind MP3s, JPEGs, and Homer Simpson’s Face

o Reaction-Diffusion by the Gray-Scott Model: Pearson's Parameterization at MROB

o A short Hostory of Color Theory

o The Riemann Hypothesis, explained

o Programatically understanding dynamic time warping

o Bezier Curves from the Ground Up

o Recurrent Neural Network Tutorial for Artists

o Using Perlin Noise to Generate 2D Terrain and Water

o A Visual Introduction to Machine Learning

o The Bézier Game

Testing footnotes? [^1]

[^1]: Here's a footnote!



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