ipython-notebook

There are 685 repositories under ipython-notebook topic.

  • jupyter/docker-stacks

    Ready-to-run Docker images containing Jupyter applications

    Language:Python8k1899023k

  • rhiever/Data-Analysis-and-Machine-Learning-Projects

    Repository of teaching materials, code, and data for my data analysis and machine learning projects.

    Language:Jupyter Notebook6.2k337292.1k

  • TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

    A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

    Language:Python3.8k312141.6k

  • ai-forever/Kandinsky-2

    Kandinsky 2 — multilingual text2image latent diffusion model

    Language:Jupyter Notebook2.8k4988310
  • euporie

    joouha/euporie

    Jupyter notebooks in the terminal

    Language:Python1.8k911444

  • jadianes/spark-py-notebooks

    Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

    Language:Jupyter Notebook1.6k9810915

  • kynan/nbstripout

    strip output from Jupyter and IPython notebooks

    Language:Python1.2k812896

  • iranroman/musicinformationretrieval.com

    Instructional notebooks on music information retrieval.

    Language:Jupyter Notebook1.2k5346412

  • catboost/tutorials

    CatBoost tutorials repository

    Language:Jupyter Notebook1k360413

  • agconti/kaggle-titanic

    A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

    Language:Jupyter Notebook8815111678

  • nilmtk/nilmtk

    Non-Intrusive Load Monitoring Toolkit (nilmtk)

    Language:Python84466869464

  • milaan9/93_Python_Data_Analytics_Projects

    This repository contains all the data analytics projects that I've worked on in python.

    Language:Jupyter Notebook52972314

  • scipy/scipy-cookbook

    Scipy Cookbook

    Language:Jupyter Notebook4735418181

  • computationalmodelling/nbval

    A py.test plugin to validate Jupyter notebooks

    Language:Python4481111251

  • sdiehl/numpile

    A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

    Language:Jupyter Notebook40516452

  • rajathkmp/Python-Lectures

    IPython Notebooks to learn Python

    Language:Jupyter Notebook390291341

  • DonJayamanne/vscodeJupyter

    Jupyter for Visual Studio Code

    Language:TypeScript3361813334

  • chmp/ipytest

    Pytest in IPython notebooks.

    Language:Python32056517

  • leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning

    Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

    Language:Jupyter Notebook319260192

  • seanwood/gcc-nmf

    Real-time GCC-NMF Blind Speech Separation and Enhancement

    Language:Python3171216134

  • o19s/relevant-search-book

    Code and Examples for Relevant Search

    Language:Jupyter Notebook3044816109

  • milaan9/07_Python_Advanced_Topics

    You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

    Language:Jupyter Notebook29631240

  • milaan9/06_Python_Object_Class

    Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.

    Language:Jupyter Notebook29530247

  • joaolcorreia/RFM-analysis

    Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

    Language:Jupyter Notebook267160176

  • lmarti/evolutionary-computation-course

    Jupyter/IPython notebooks about evolutionary computation.

    Language:Jupyter Notebook25017599

  • maartenbreddels/ipywebrtc

    WebRTC for Jupyter notebook/lab

    Language:JavaScript247116241

  • milaan9/Python_Computer_Vision_from_Scratch

    This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

    Language:Jupyter Notebook23930189

  • milaan9/09_Python_NumPy_Module

    Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

    Language:Jupyter Notebook23630225

  • milaan9/05_Python_Files

    Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.

    Language:Jupyter Notebook22920216

  • milaan9/08_Python_Date_Time_Module

    Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.

    Language:Jupyter Notebook22730214

  • milaan9/03_Python_Flow_Control

    Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

    Language:Jupyter Notebook22420225

  • milaan9/11_Python_Matplotlib_Module

    Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

    Language:Jupyter Notebook22330207

  • SSARCandy/panoramas-image-stitching

    🖼 Stitching images into 360 panoramas

    Language:Python22361653

  • milaan9/Python_Natural_Language_Processing

    This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

    Language:Jupyter Notebook19520173

  • milaan9/92_Python_Games

    This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

    Language:Jupyter Notebook19120176

  • tmthyjames/SQLCell

    SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

    Language:Python152108411