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jupyter_boilerplate

Boilerplate and useful snippets for Python Jupyter notebooks

jupyter_notebooks

Python coding for Eurasian cultures of documentation.

jupyter_vega

A JupyterLab extension for Vega and Vega-Lite

jupyterlab_celltests

Cell-by-cell testing for production Jupyter notebooks in JupyterLab

jupyterlab_commands

Add arbitrary python commands to the jupyterlab command palette

jupyterlab_email

A jupyterlab extension to email notebooks directly from JupyterLab.

jupyterlab_iframe

JupyterLab iframe widget

jupyterlab_powerpoint

Creating PowerPoints from jupyter notebooks and vice versa

jupyterlab_templates

Support for jupyter notebook templates in jupyterlab

jupyterlab_voyager

JupyterLab extension visualize data with Voyager

jupyterq

Jupyter kernel for kdb+

jussi

JSON-RPC 2.0 Reverse Proxy Frontend for Steemit

just

A tool for constructing and executing experiment pipelines on a cluster

just-pandas-things

An ongoing list of pandas quirks

jvhw-renyi-entropy-estimators

The Jiao--Venkat--Han--Weissman Renyi entropy estimators

jvhw_entropy_estimators

MATLAB and Python 2.7/3 Implementations of the JVHW entropy and mutual information estimators in Jiao, Jiantao, Kartik Venkat, Yanjun Han, and Tsachy Weissman. "Minimax estimation of functionals of discrete distributions." IEEE Transactions on Information Theory 61, no. 5 (2015): 2835-2885.

jvm-repr

API for converting JVM objects to representations by MIME type, for the Jupyter ecosystem.

jxquant

该库主要分享“匠芯量化”公众号内的策略源码，更多策略细节请关注微信公众号：“匠芯量化”（微信搜索公众号“jxquant”）。

k-12-workshops

k-means

k-means-clustering

First machine learning task. K-Means Clustering finds optimum clusters through iterations that break when the optimum solution is found

k-medians

In this report, we will discuss the general ideas surrounding the k-medians problem. We take a look at what k-medians attempts to solve and how it goes about doing so. Next, we will solve the k-medians problem with both an integer optimization approach (using AMPL) and a heuristic approach obtained with the minimum spanning tree procedure (Kruskal’s algorithm, implement in AMPL). Finally, we’ll close off our report with a comparison of the two solutions obtained, in terms of the objective function of the integer optimization problem and plot the results to procure a better visualization of the 2 procedures.

k-modes-algorithm-as-a-tool-for-leukemia-microarray-data-clustering

K-Modes Algorithm as a tool for leukemia microarray data Clustering

k-nearest-neighbours-classifier

An implementation of K-Nearest Neighbours Classification from scratch without using the scikit-learn's KNNClassifier function.

k3d-demo

Demo of k3d v3.0.0+

kafbox

A Matlab benchmarking toolbox for kernel adaptive filtering

kafka-spark-streaming

Streaming application using Apache Spark Structured Streaming and Kafka

kaggle

Big analytics

kaggle-1

Reusable code for Kaggle competitions.

kaggle-2

A collection of my submissions for various Kaggle Competitions