Best Of Jupyter🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
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Jupyterlab LspCoding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Stars: ✭ 796 (+870.73%)
Sklearn ClassificationData Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (+531.71%)
FastdocCreate publication-quality books from Jupyter notebooks
Stars: ✭ 134 (+63.41%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (+32.93%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+2178.05%)
Nteract📘 The interactive computing suite for you! ✨
Stars: ✭ 5,713 (+6867.07%)
IpystataEnables the use of Stata together with Python via Jupyter (IPython) notebooks.
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JupytemplateTemplates for jupyter notebooks
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PrmlPRML algorithms implemented in Python
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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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SparkmagicJupyter magics and kernels for working with remote Spark clusters
Stars: ✭ 954 (+1063.41%)
Signals And Systems LectureContinuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
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Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
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PaperboyA web frontend for scheduling Jupyter notebook reports
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Ipyexperimentsjupyter/ipython experiment containers for GPU and general RAM re-use
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BeakerxBeaker Extensions for Jupyter Notebook
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Nbviewer AppA Jupyter notebook viewer for macOS
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Intro To PythonAn intro to Python & programming for wanna-be data scientists
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Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+559.76%)
Fastai2Temporary home for fastai v2 while it's being developed
Stars: ✭ 630 (+668.29%)
Log Progresshttps://habr.com/ru/post/276725/
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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CocalcCoCalc: Collaborative Calculation in the Cloud
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JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
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Zero To Jupyterhub K8sHelm Chart & Documentation for deploying JupyterHub on Kubernetes
Stars: ✭ 888 (+982.93%)
Stock Analysis EngineBacktest 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/
Stars: ✭ 605 (+637.8%)
Business Machine LearningA curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
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Or Pandas【运筹OR帷幄|数据科学】pandas教程系列电子书
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Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Stars: ✭ 807 (+884.15%)
Thinkbayes2Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Stars: ✭ 918 (+1019.51%)
Pytorch GatMy 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!
Stars: ✭ 908 (+1007.32%)
LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
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Pyspark Setup DemoDemo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks
Stars: ✭ 24 (-70.73%)
Nbstripoutstrip output from Jupyter and IPython notebooks
Stars: ✭ 738 (+800%)
Python Zero To Hero Beginners CourseMaterials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.
Stars: ✭ 22 (-73.17%)
SkydetectorA Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)
Stars: ✭ 23 (-71.95%)
P5 NotebookA minimal Jupyter Notebook UI for p5.js kernels running in the browser
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Ansible JupyterhubAnsible role to setup jupyterhub server (deprecated)
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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Machine Learning NotebooksAssorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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GeemapA Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
Stars: ✭ 959 (+1069.51%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1085.37%)
Dashboards[RETIRED] See Voilà as a supported replacement
Stars: ✭ 986 (+1102.44%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-52.44%)
GeonotebookA Jupyter notebook extension for geospatial visualization and analysis
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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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NbgraderA system for assigning and grading notebooks
Stars: ✭ 1,000 (+1119.51%)
Machine Learning From ScratchSuccinct 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.
Stars: ✭ 42 (-48.78%)