Open Machine Learning Course
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Updated
Jun 30, 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
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
Image segmentation - general superpixel segmentation & center detection & region growing
MegEngine Official Documentation
Exploring the simple sentence similarity measurements using word embeddings
Jupyter notebooks in the terminal
A jupyter notebook server via HEROKU web without Password.
A Python library for structural analysis using the finite element method
GraphBLAS for Python
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
Convert .py files runnable in VSCode or Atom/Hydrogen to Jupyter .ipynb notebooks and vice versa
Python package for early warning signals (EWS) of bifurcations in time series data.
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
A strongly-typed genetic programming framework for Python
import an ipynb into an ipynb (or into just a py)
🤖 Clean your notebook outputs with every commit!
detect playing cards using OpenCV and Python
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release about 1 month ago