Jupyter Notebooks are documents that contain live code, visualizations, and narrative text.
There are 37,697 repositories under jupyter-notebook topic.
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
A neural network that transforms a design mock-up into a static website.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
Custom Jupyter Notebook Themes
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Best Practices, code samples, and documentation for Computer Vision.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Repository to store sample python programs for python learning
Jupyter notebooks for teaching/learning Python 3
Voilà turns Jupyter notebooks into standalone web applications
A collection of infrastructure and tools for research in neural network interpretability.
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
The Go kernel for Jupyter notebooks and nteract.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
A curated list of awesome Jupyter projects, libraries and resources
The Hunting ELK