Google Research

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

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 ;)

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…

Data and code behind the articles and graphics at FiveThirtyEight

Your new Mentor for Data Science E-Learning.

From the basics to slightly more interesting applications of Tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

General Assembly's 2015 Data Science course in Washington, DC

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov. we used the “Labeled Faces in the Wild” dataset with ove…

This is the code for "TPU Machine Learning (LIVE)" by Siraj Raval on Youtube

An easy system to create autograding tests in Jupyter Python notebook and deploy to cloud.