969 Open source projects that are alternatives of or similar to python_ml_tutorial

The power of Chart.js with Python

Mercury - data visualize and discovery with Javascript, such as apache zeppelin and jupyter

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Jupyter Interactive Notebook

Examples using Clustergrammer2 to explore high-dimensional datasets.

Code, prompt and output hiding for Jupyter/IPython notebooks.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

📘 The interactive computing suite for you! ✨

A Jupyter kernel for Dyalog APL

Create HTML profiling reports from pandas DataFrame objects

Ready-to-run Docker images containing Jupyter applications

A SageMath-based computing environment for binder

notebook files as source

A Jupyter widget for annotating images with bounding boxes

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Ways of doing Data Science Engineering and Machine Learning in R and Python

A minimal Jupyter Notebook UI for p5.js kernels running in the browser

NumFocus Academy - Matplotlib (beginner)

Just a simple radare2 Jupyter kernel

PRML algorithms implemented in Python

Machine Learning Toolkit for Kubernetes

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Notebook-integrated tools for molecular simulation and visualization

A Swift kernel for IPython.

A plugin to select syntax highlighting on Jupyter

Musical Gestures Toolbox for Python

jupyter notebook 的思维导图插件

A pytest plugin for regression testing and regenerating Jupyter Notebooks

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Embed visualizations and code from Observable notebooks in Jupyter

🌱 Starter kit for working with the EPIC-KITCHENS-55 dataset for action recognition or anticipation

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

GitHub Action that generates "Open In Colab" Badges for you

Minimal Jupyter C kernel

📚 Parameterize, execute, and analyze notebooks

Digital Signal Processing - Theory and Computational Examples

The hands-on NLTK tutorial for NLP in Python

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Support for jupyter notebook templates in jupyterlab

Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai

Templates for jupyter notebooks

Beaker Extensions for Jupyter Notebook

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Create publication-quality books from Jupyter notebooks

jupyter/ipython experiment containers for GPU and general RAM re-use

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A Jupyter notebook extension for geospatial visualization and analysis

Jupyter magic to allow Node.js code to run in a notebook

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

A web frontend for scheduling Jupyter notebook reports

A drag-and-drop dashboard editor for JupyterLab

Kaggle을 처음 접하는 사람들을 위한 문서

Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.

Jupyter magics and kernels for working with remote Spark clusters

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.