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java-nfc-ntag-pwd

Small Java example to illustrate how to authenticate, set and unset a password for a NTAG213 with ACS ACR122 USB terminal.

java-sorting-visualizer

Java Sorting Visualizer using Swing Components | Swing Worker | Graphics 2D

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jckantor.github.io

jdaviz

JWST astronomical data analysis tools in the Jupyter platform

jdh-8

An 8-bit minicomputer with a fully custom architecture

jellybeans

A comprehensive Data Structure package

jet-topics

Jet topic modeling algorithm and subsequent substructure observable extraction

jhnber.github.io

jmcpil

MCPIL Rewrite In Java

job_analysis

jobberbase

Jobberbase is open-source job board software http://www.jobberbase.com

joint_stress_calculator

This is a joint stress calculator for a lateral shoulder raise. It calculates specific stress values for both the deltoidal muscle group, as well as the glenohumeral joint.

jojoposeestimation

Using OpenCV and OpenPose to recognize reference poses.

js-connect-four

jsonschema-rs

JSON Schema validation library

jspeechrecognizer

juliasetgen

julius

The user interface of nCoda.

jumpingfishbear

Simple python game with tkinter

jupy5

A simple way to sketch with Python and p5.js in Jupyter

jupyter-cadquery

An extension to render cadquery objects in JupyterLab via pythreejs

jupyter-splitview

Making before/after image sliders in JupyterLab

jupyter_examples

This repo contains example notebooks which can be launched via binder

jupyterhub-docker-simple

just-latex

A simple Pandoc filter enabling the use of the actual LaTeX engine to render LaTeX fragments in Markdown

k-means

k-means-clustering

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

k-means-colour-palette-generator

Uses the K-means clustering algorithm to extract the K most dominant colours from any given image.