Notebook collections on numerical techniques using Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). These notebooks were used for educational purposes at meetups or study groups.

Blog : https://numericalbricabrac.ghost.io/

Notebooks demonstrating animation or simulation algorithms.

Notebooks

	Implementation of Baraff's "Large steps in cloth simulation.
	Inverse kinematics using least square methods to solve the ill-posed problem.
	Skeletal Subspace Deformation

Notebooks about machine learning techniques such as dimensionality reduction.

Notebooks

	Eigenfaces for face recognition on Olivetti faces dataset
	Optimal transformation of a point cloud with PCA
	Image compression with Singular Value Decomposition

Example of convolutional neural network for classification problems or face landmarks.

Notebooks

	Transfer learning for image classification on CIFAR-100
	Facial keypoints detection
	Image classification on CIFAR-10 using CNN
	Image classification on CIFAR-10 using ResNet

Examples of generative models such as autoencoder (AE) and Variational autoencoder (VAE)

Notebooks

	Autoencoder on Fashion MNIST
	Variational autoencoder on MNIST

Stencil codes are at the heart of many numerical solvers and used to solve partial differential equations, image processing, cellular automata, etc.

Notebooks

	Diffusion problem
	Laplace inpainting to restore an image
	Image processing with convolution kernels
	Cellular automata with Conway's game of life rules

Random notebooks about dynamic programming and monte carlo methods

Notebooks

	Image processing in frequency domain
	Multivariable Optimizations (Gradient Descent and Newton's methods)
	Image Augmentation for Self-Supervised Learning
	Example of ML pipeline with Snakemake
	Introduction to Numba
	Dynamic programming Examples
	Examples of Monte Carlo integrations
GitHub	Monte Carlo Path Tracing
	Generate authors names from the Collection of Poems from Poetry Foundation
	Interpolation with Radial Basis Functions (RBFs).

Those notebooks are the core algorithms for supervised and unsupervised learning in Machine learning.

Notebooks

Supervised Learning
	Linear regression from scratch
	Polynomial regression from scratch
	Logistic regression from scratch
	Multiclass Classification with Scikit-learn
	Support Vector Machine (SVM) with Scikit-learn
Unsupervised Learning
	K-means clustering from scratch

Part of discrete mathematics, graph theory is the study of graphs, a structures used to model pairwise relations between objects. Graph theory includes problems such as the travelling salesman problem and the spectral analysis of graph.

Notebooks

	List matrices describing a finite graph.
	Greedy algorithm for graph coloring.
	Find the shortest paths between nodes in a graph.
	Spectral Graph Thoery - PLACEHOLDER (WIP).