https://jrdngr.github.io/pngme_book/

Minimal example that demonstrates how modules work in Rust

A command-line to-do app in Rust.

Download all of your questions and answers from all Stack Exchange sites as Markdown files using a Python script.

Template that I use for research projects written in Python.

A differentiable Python implementation of the Sutherland–Hodgman algorithm for clipping polygons in 2D.

Code used to generate plots in the dsp.stackexchange answer https://dsp.stackexchange.com/a/79206/52433

This tutorial demonstrates how to compute maximum likelihood estimates of the parameters of a Gaussian distribution both analytically and using gradient descent.

Gait identification using a Variational Autoencoder and a Hidden Markov Model

An implementation of Categorical-Bernoulli (Softmax-Bernoulli) and Bernoulli-Bernoulli RBMs for movie recommendation using PyTorch.

Implements data-driven approaches for the detection of coughs in patients with respiratory illnesses.

Demonstrates the different uses of the Google Drive Python API

Measuring leaf wilting in soybean plants using convolutional neural networks.

Implements the Expectation-Maximization algorithm to estimate the parameters of a Gaussian Mixture Model.

Simplified and documented implementation of CycleGAN in PyTorch.

This project demonstrates image blob detection using the Laplacian of Gaussian kernel.

Demonstrates image blending using Gaussian pyramids and Laplacians.

Demonstrates 2D convolution using basic NumPy operations.

Explores the use of confidence intervals when estimating the bit error rate of a digital communications system.