Topic: ipython-notebook Goto Github
Some thing interesting about ipython-notebook
Some thing interesting about ipython-notebook
ipython-notebook,Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
User: abdulfatir
ipython-notebook,This repository contains implementations of some basic sampling methods in numpy.
User: abdulfatir
ipython-notebook,Kaggle Competition for Predicting NCAA Basketball Tourney Games
User: adeshpande3
ipython-notebook,Tutorial on Using Pandas
User: adeshpande3
ipython-notebook,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.
User: agconti
Home Page: http://agconti.github.io/kaggle-titanic
ipython-notebook,Kandinsky x Deforum — generating short animations
Organization: ai-forever
Home Page: https://ai-forever.github.io/deforumkandinsky.github.io/
ipython-notebook,Kandinsky 2 — multilingual text2image latent diffusion model
Organization: ai-forever
ipython-notebook,CatBoost tutorials repository
Organization: catboost
ipython-notebook,15+ Machine/Deep Learning Projects in Ipython Notebooks
User: chhayac
ipython-notebook,Pytest in IPython notebooks.
User: chmp
ipython-notebook,A py.test plugin to validate Jupyter notebooks
Organization: computationalmodelling
ipython-notebook,Jupyter for Visual Studio Code
User: donjayamanne
Home Page: https://marketplace.visualstudio.com/items?itemName=donjayamanne.jupyter
ipython-notebook, :bar_chart: Algorithm Visualizer for IPython/Jupyter Notebook
User: hahnlee
Home Page: http://ipytracer.readthedocs.io/
ipython-notebook,An IPython notebook plugin for visualizing ASTs.
User: hchasestevens
ipython-notebook,Rendering IPython Notebooks using Flask
User: iiseymour
ipython-notebook,Instructional notebooks on music information retrieval.
User: iranroman
Home Page: http://musicinformationretrieval.com
ipython-notebook,Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
User: jadianes
Home Page: http://jadianes.github.io/spark-py-notebooks
ipython-notebook,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.
User: jay-johnson
ipython-notebook,Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
User: jbn
ipython-notebook,A tool to merge / concatenate Jupyter (IPython) notebooks
User: jbn
ipython-notebook,Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
User: joaolcorreia
ipython-notebook,Jupyter notebooks in the terminal
User: joouha
Home Page: https://euporie.readthedocs.io
ipython-notebook,Ready-to-run Docker images containing Jupyter applications
Organization: jupyter
Home Page: https://jupyter-docker-stacks.readthedocs.io
ipython-notebook,strip output from Jupyter and IPython notebooks
User: kynan
ipython-notebook,Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
User: leonvanbokhorst
ipython-notebook,Jupyter/IPython notebooks about evolutionary computation.
User: lmarti
Home Page: http://lmarti.github.io/evolutionary-computation-course/
ipython-notebook,WebRTC for Jupyter notebook/lab
User: maartenbreddels
ipython-notebook,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
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,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
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,This repository contains all the data analytics projects that I've worked on in python.
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,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.
User: milaan9
ipython-notebook,Non-Intrusive Load Monitoring Toolkit (nilmtk)
Organization: nilmtk
Home Page: http://nilmtk.github.io
ipython-notebook,Code and Examples for Relevant Search
Organization: o19s
ipython-notebook,A collection of Jupyter/IPython notebooks
User: pratapvardhan
ipython-notebook,IPython Notebooks to learn Python
User: rajathkmp
ipython-notebook,Repository of teaching materials, code, and data for my data analysis and machine learning projects.
User: rhiever
Home Page: http://www.randalolson.com/blog/
ipython-notebook,Scipy Cookbook
Organization: scipy
Home Page: https://scipy-cookbook.readthedocs.io/
ipython-notebook,A tiny 1000 line LLVM-based numeric specializer for scientific Python code.
User: sdiehl
Home Page: http://dev.stephendiehl.com/numpile/
ipython-notebook,Real-time GCC-NMF Blind Speech Separation and Enhancement
User: seanwood
ipython-notebook,An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
User: ssarcandy
Home Page: https://ssarcandy.tw/2017/04/16/High-Dynamic-Range-Imaging/
ipython-notebook,🖼 Stitching images into 360 panoramas
User: ssarcandy
Home Page: https://ssarcandy.tw/2017/05/26/panorama-image-stitching/
ipython-notebook,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.
User: tarrysingh
Home Page: https://deepkapha.ai
ipython-notebook,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.
User: tmthyjames
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.