446 Open source projects that are alternatives of or similar to nbtop

declarative and reproducible Jupyter environments - powered by Nix

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

Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.

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A new kind of IDE for Data Science.

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Example of how to use R in Jupyter notebooks and make compatible with Binder

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A neural network that transforms a design mock-up into a static website.

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MaixPy for Linux Python3, let's play with edge AI easier!

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/

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

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Solution of the Titanic Kaggle competition

Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.

A curated list of awesome Jupyter projects, libraries and resources

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pandas.liuzaoqi.com/intro.html

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