7416 Open source projects that are alternatives of or similar to Jupytemplate

深度学习在推荐系统中的应用及论文小结。

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Automatic extraction of relevant features from time series:

Quiz & Assignment of Coursera

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

strip output from Jupyter and IPython notebooks

Python API for Intelligent Visual Data Discovery

CoCalc: Collaborative Calculation in the Cloud

Python tools for data analysis

Malware Data Science Reading Diary / Notes

The Hitchhiker's Guide to Data Science for Social Good

A jupyter notebook serverextension providing config interfaces for nbextensions.

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

Building the Docker image with Ansible and Jupyter.

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!

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

A free tutorial for Apache Spark.

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

Human Activity Recognition (HAR) with Keras and CoreML

Introduction to pandas Treehouse course

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

The blog post about Kubeflow, including all materials

PyMC3 educational resources

Modern Data Science

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

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

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

Google Colaboratory Notebooks and Repositories (by @firmai)

Verteego Data Suite

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

R package to interface with OpenML

Ansible role to setup jupyterhub server (deprecated)

ML.NET Workshop to predict car sales prices

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

brief introduction to Python for machine learning

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Introduction to Data Science

A Jupyter kernel for Dyalog APL

Documentation and samples for ArcGIS API for Python

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

A Julia machine learning framework

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Learn advanced data science on real-life, curated problems

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

[RETIRED] See Voilà as a supported replacement

A simple deep learning model to add accent to Vietnamese text.

A system for assigning and grading notebooks

Python Helper library for Jupyter Notebooks

My solution to the book A Collection of Data Science Take-Home Challenges

Computer vision sabbatical study materials

A Jupyter notebook extension for geospatial visualization and analysis

Best Practices, code samples, and documentation for Computer Vision.

Numerical & Scientific Computing with Python Tutorial

Talks & Workshops by the CODAIT team

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.