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google_dork_list

Google Dorks | Google helps you to find Vulnerable Websites that Indexed in Google Search Results. Here is the latest collection of Google Dorks. A collection of 13.760 Dorks. Author: Jolanda de Koff

google_generative-ai-course

Sample code and notebooks for Generative AI on Google Cloud

googlecloud_iot_ml_kubernetes

Google Cloud Essentials: Deploying ML Apps with IoT Data Tuesday, March 26⋅7:30am – 6:00pm

grokking-artificial-intelligence-algorithms

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

gsql-graph-algorithms

GSQL Graph Algorithms

hackaday-u-ghidracourse

Course materials for hackaday.io Ghidra training

hackerearth-solution

Contains hackerearth solutions in python 3

hands-on-concurrency-with-rust

Hands-On Concurrency with Rust, published by Packt

hands-on-functional-programming-in-rust

Hands-On Functional Programming in Rust, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handsonrust

The source code that accompanies Hands-on Rust: Effective Learning through 2D Game Development and Play by Herbert Wolverson

how_to_learn_modern_rust

A guide to the adventurer.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle_stuff

Using K-Means Clustering to Design the Best Teams of WNBA Players of All Time, and Simulating a Data-Driven Game Btwn the Top Two Teams

learning-apache-spark

Notes on Apache Spark (pyspark)

learning-quantum

Study resources for learning quantum computing

learnjulia2020

leetcodepatterns-python

Leet Code Patterns in Python - 16 Patterns to solve all questions

level-up-rust-3041143

This is a LinkedIn Learning repo for Level Up: Rust.

lm-hackers

Hackers' Guide to Language Models

logic_farm_roguelike

A tutorial project for Bevy 0.11 following a series on the LogicProjects Youtube Channel

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machinelearning_studymaterial

Notebooks I created for studying Machine Learning

medium_stories

A repository containing data and files for my stories on Medium.com.

ml_and_rust

mobile-deep-learning-projects

Mobile Deep Learning Projects, published by Packt

neo4j-llm-fundamentals

https://graphacademy.neo4j.com/courses/llm-fundamentals/

noboilerplate

Code for my talks on the No Boilerplate channel

open-source-gpt-nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

oreilly-qc.github.io

Code samples for Programming Quantum Computers, from O'Reilly Media