The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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 ;)

Data and code behind the articles and graphics at FiveThirtyEight

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Kubernetes community content

Code release for NeRF (Neural Radiance Fields)

Visualizations for machine learning datasets

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

A python tutorial on bayesian modeling techniques (PyMC3)

CoTracker is a model for tracking any point (pixel) on a video.

An Interactive Introduction to Fourier Transforms

R kernel for Jupyter

A data visualization curriculum of interactive notebooks.

Brushing and linking for big data

IPython/Jupyter notebook module for Vega and Vega-Lite

Jupyter's kernel for Elixir programming language

Repeatable analysis plugin for Jupyter notebook

Demos of Plotly's Real-time Streaming API

Data collected to investigate why Comcast customers have slow downloads from our site

Understanding game design inspiration of roguelike games via web scraping and network analysis.