#Ipython-notebook
Showing 44 of 44 repositories tagged #ipython-notebook, ranked by stars
Ready-to-run Docker images containing Jupyter applications
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
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.
Jupyter notebooks in the terminal
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
strip output from Jupyter and IPython notebooks
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.
Non-Intrusive Load Monitoring Toolkit (nilmtk)
This repository contains all the data analytics projects that I've worked on in python.
Jupyter for Visual Studio Code
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
🖼 Stitching images into 360 panoramas
WebRTC for Jupyter notebook/lab
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.
Your one-click scientific research lab for Opencode - with seamless .ipynb and REPL integration
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
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.
:bar_chart: Algorithm Visualizer for IPython/Jupyter Notebook
An IPython notebook plugin for visualizing ASTs.
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.
A tool to merge / concatenate Jupyter (IPython) notebooks
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
Tutorial on Using Pandas
Rendering IPython Notebooks using Flask
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
A react component to embed .ipyb notebooks in a blog or something
The remote Jupyter kernel/kernels administration utility
A pytest plugin for regression testing and regenerating Jupyter Notebooks
IPython Notebook server monitor inspired by htop
Learn advanced data science on real-life, curated problems
IPython API to visualize MD-trajectories along projected trajectories inside a Jupyter notebook
A curated list of awesome Jupyter and IPython links
A jupyter client for your terminal
A Python package that simplifies the use of secrets in a Jupyter notebook
Transform argparse into class format for Jupyter Notebook execution
Computational Methods Course at UdeA. Forked and size reduced from:
Architected a distributed notebook execution environment simulating Kaggle Kernels. Utilized the Kubernetes K8s API for dynamic pod orchestration and WebSockets for real-time streaming of code execution.
Data Analysis using datasets from Kaggle
Ansible role to setup jupyterhub server (deprecated)
Add Disqus to your Jupyter notebook.
A collection of 100 NumPy exercises (created by user rougier) that I completed at Byte Academy.
Continuation for this project is stopped. Focus is now on the MechEng modules ( https://github.com/mecheng ) A Python module for mechanical engineers. Project which is mostly based on the books of Roloff / Matek (Machineonderdelen), Hibbeler (Statics, Mechanics and Dynamics), Kals (Industriele productie) and R. Mott (Applied Fluid Mechanics). Al calculations are unit/dimension save. Using IPython / Jupyter a report can be generated in LaTeX, html or PDF Currently implemented: * Force method calculation for a simple beam * Unit based calculations * Axle calculation * Material properties
Recursos para la asignatura BDGE del Máster de Big Data de la UM/USC.