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.

The fastai deep learning library

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

🎨🖌 Modern Sublime Text theme

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Code for testing various M1 Chip benchmarks with TensorFlow.

Your Advanced Twitter stalking tool

I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-a…

🥇 1st place winner | Bump.IT - Pothole detection and mapping. Using data science methods of analysis, mobile phone's telemetry, computer vision, and, deployed through Azure.

This repo holds our challenge code for the ConocoPhillips Challenge