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

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Public facing notes page

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

The Udacity open source self-driving car project

Repo for the Deep Reinforcement Learning Nanodegree program

Grokking Deep Reinforcement Learning

Lane Finding Project for Self-Driving Car ND

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Repository and hands-on workshop on how to develop applications with local LLMs

Self Driving Car development tools and technologies from GTA Robotics Community members

Tools for Sensor Fusion processing.

TensorFlow Lab for Self-Driving Car ND

p5_VehicleDetection_Unet

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

Self Driving Car Engineer Nanodegree System Integration Capstone Project

Finding lane lines on a video using computer vision

Notebooks for MXNet

Google AIY Voice kit for listening to Japanese music using raspberry pi, scikit-learn, and Google Speech API

Some old tutorial snippets i created for teaching the basics of tensorflow.