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jquery.gantt

jQuery Gantt Chart

js-search

JS Search is an efficient, client-side search library for JavaScript and JSON objects

jupyter_webapp_demo_provsvar

Code for the article "How to Create an Interactive Web Application using Jupyter Notebook".

just-dashboard

:bar_chart: :clipboard: Dashboards using YAML or JSON files

justrun-the-chatroom

A chatroom bot for justrunit project

justrunit-prototype1

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keydown

An HTML5 presentation builder

killallagents

An agent-based model of infectious disease spread.

knet.jl

Koç University deep learning framework.

knn

A k-nearest neighboor classifier algorithm.

knowledge-management-demo

kue

Kue is a priority job queue backed by redis, built for node.js.

kvstore

ApsaraDB for Redis

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

landsat-classification-using-neural-network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.

langchain-ask-csv

A Langchain app that allows you to ask questions to a CSV file

langchain-tutorials

Overview and tutorial of the LangChain Library

langchainlivestream

leaflet-maps-with-google-sheets

Customize Leaflet maps with a linked Google Sheets template and GeoJSON data on GitHub

leaflet-storymaps-with-google-sheets

Scroll-driven story map, with point markers and narrative text in GeoJSON, using Leaflet and jQuery

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

learn-fullstack-javascript

For help, ask in #questions at jscomplete.com/help

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learning-quantum-computing-course-old

⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Microsoft Quantum SDK) and TeX (LaTeX). The project will present some kind of Introductory Course of Quantum Physics/Mechanics and Quantum Computing, and also, some basic tutorials, exercises and papers about it.

learning-to-see-in-the-dark

lecture-python.notebooks

Notebooks for https://python.quantecon.org

legalbot-ai

dnzengou1/watson-bot-starter-20171002103411369

lex-glue

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English