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jupyter_bokeh

An extension for rendering Bokeh content in JupyterLab notebooks

jupyterlab-latex

JupyterLab extension for live editing of LaTeX documents

jupyterlab-omnisci

Omnisci integrations for JupyterLab

jupyterlab-sql

SQL GUI for JupyterLab

jupyterlab_html

(Merged into JupyterLab Core!) JupyterLab extension for displaying HTML files

jupyterlab_voyager

JupyterLab extension visualize data with Voyager

jurity

Jurity: Fairness & Evaluation Library

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

kabuki

kabuki is a python toolbox that allows easy creation of hierarchical bayesian models for the cognitive sciences.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kanren

An extensible, lightweight relational/logic programming DSL written in pure Python

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

katib

Repository for hyperparameter tuning

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

kbmtl

Kernelized Bayesian Multitask Learning

kbpedia

KBPedia Knowledge Graph & Knowledge Ontology (KKO)

kbquery

Akka HTTP server to query KB resources from an SQL database.

kdb.q.kalman.filter.beta.etfs

kdb+/q kalman beta matlab python

kdd2018-tutorial

Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data

kde_ebm

Newer version of the KDEEBM code

kdensity

An R package for kernel density estimation with parametric starts and asymmetric kernels.

kdtw

Kernelized DTW

kdvs

kedro

A Python library that implements software engineering best-practice for data and ML pipelines.

keel

KEEL: Knowledge Extraction based on Evolutionary Learning

keio_dynamic_programming

Lectures on dynamic programming at Keio University

kelly_code

Code and examples for the project on risk-constrained Kelly gambling

kelmor

A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression

kelp-additional-algorithms