Explore Projects
Discover 109 open source projects
Showing 1-20 of 109 projects
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook in Jupyter Notebooks
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Bayesian methods and probabilistic programming in Python with PyMC
ageron/handson-ml
Deprecated ML book repo with Jupyter notebooks for learning fundamentals
trekhleb/homemade-machine-learning
Interactive machine learning algorithms in Python with Jupyter demos
MLEveryday/100-Days-Of-ML-Code
机器学习100天学习计划，涵盖有监督和无监督学习算法
recommenders-team/recommenders
Recommenders is a project for prototyping and operationalizing recommendation systems with Jupyter notebooks and best practices.
plotly/plotly.py
Interactive data visualization library for Python, with support for Jupyter Notebooks and Plotly Dash.
AccumulateMore/CV
Comprehensive deep learning notes covering popular frameworks, books, and models for AI/ML developers.
emilwallner/Screenshot-to-code
A neural network that transforms design mockups into static websites, for developers building with AI tools.
Data-Centric-AI-Community/ydata-profiling
A Python library for fast, customizable, and interactive data profiling and exploratory data analysis.
jupyter/notebook
Jupyter Interactive Notebook is a web-based interactive computing environment for creating, executing, and sharing Jupyter notebooks.
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
guipsamora/pandas_exercises
Practice pandas skills with exercises and tutorials
marceloprates/prettymaps
Draws pretty maps from OpenStreetMap data using osmnx and matplotlib.
AkashSingh3031/The-Complete-FAANG-Preparation
Comprehensive resource covering data structures, algorithms, and FAANG interview prep for developers.
aws/amazon-sagemaker-examples
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
lexfridman/mit-deep-learning
This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
microsoft/computervision-recipes
A comprehensive repository for computer vision best practices, code samples, and documentation.
dunovank/jupyter-themes
Custom Jupyter Notebook themes for syntax highlighting and UI customization.
MITDeepLearning/introtodeeplearning
Lab materials for an introductory course on deep learning from MIT, covering computer vision, music generation, and more.
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