7620 Open source projects that are alternatives of or similar to Sparkmagic

An ongoing list of pandas quirks

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

strip output from Jupyter and IPython notebooks

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

DataFusion has now been donated to the Apache Arrow project

A jupyter notebook serverextension providing config interfaces for nbextensions.

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

CoCalc: Collaborative Calculation in the Cloud

A plugin to select syntax highlighting on Jupyter

A Swift kernel for IPython.

Jupyter magic to allow Node.js code to run in a notebook

Notebook-integrated tools for molecular simulation and visualization

Vagrant projects for various use-cases with Spark, Zeppelin, IPython / Jupyter, SparkR

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

A framework for writing Spark 2.x applications in a pretty way

Machine Learning Toolkit for Kubernetes

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Relation Extraction using Deep learning(CNN)

Jupyter kernel for scala and spark

Spark on Kubernetes infrastructure Helm charts repo

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

LearningApacheSpark

Simple and Distributed Machine Learning

Just a simple radare2 Jupyter kernel

A collection of notebooks of my Machine Learning class written in python 3

Computer vision sabbatical study materials

Python training for business analysts and traders

Numerical & Scientific Computing with Python Tutorial

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Telegram notification with IPython magics.

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

Building the Docker image with Ansible and Jupyter.

Visualize a pandas dataframe in a few clicks

Big Data for Data Engineers Coursera Specialization from Yandex

IPython / Jupyter integration for pybind11

Completed assignments and coding challenges from the Lambda School Data Science program.

A site that displays up to date COVID-19 stats, powered by fastpages.

Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai

Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

import code from IJulia Jupyter notebooks into Julia programs

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

R kernel for Jupyter

A jupyter notebook that provides analysis for StarCraft 2 replays

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

This is a jupyter practical tutorial. Welcome to edit together!

python implementations of Analyzing Neural Time Series Textbook

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Jupyter Interactive Notebook

The power of Chart.js with Python

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

A minimal Jupyter Notebook UI for p5.js kernels running in the browser

MaRe leverages the power of Docker and Spark to run and scale your serial tools in MapReduce fashion.