Jupyter Notebooks are documents that contain live code, visualizations, and narrative text.
There are 30,714 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.
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
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》)
Create HTML profiling reports from pandas DataFrame objects
Custom Jupyter Notebook Themes
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Best Practices, code samples, and documentation for Computer Vision.
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.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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)
Deep Learning (with PyTorch)
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
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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
Jupyter notebooks from the scikit-learn video series
The Go kernel for Jupyter notebooks and nteract.
The Hunting ELK
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b