Open Machine Learning Course
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Updated
Aug 26, 2024 - Python
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Open Machine Learning Course
Jupyter notebooks in the terminal
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
Image segmentation - general superpixel segmentation & center detection & region growing
GraphBLAS for Python
A Python library for structural analysis using the finite element method
A strongly-typed genetic programming framework for Python
Exploring the simple sentence similarity measurements using word embeddings
Python package for early warning signals (EWS) of bifurcations in time series data.
Convert .py files runnable in VSCode or Atom/Hydrogen to Jupyter .ipynb notebooks and vice versa
MegEngine Official Documentation
import an ipynb into an ipynb (or into just a py)
A jupyter notebook server via HEROKU web without Password.
git tracking for python notebooks
detect playing cards using OpenCV and Python
🗂 markdown tool to create table of content from jupyter notebooks
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 3 months ago