Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.

Interact with your documents using the power of GPT, 100% privately, no data leaks

The "Python Machine Learning (3rd edition)" book code repository

What really happened with Aaron Swartz?

Wedding Planner Web App

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

Example flows to get started with Node-RED and hass.io

Exercise files for Python SciKit Learn Machine Learning Training

Anomaly detection related books, papers, videos, and toolboxes

STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks

Introduction to Machine learning with Python, 4h interactive workshop

A Tutorial Introduction to R

TwinCAT 3 Motion Control Utilities - PLC Motion Library for all PCDS Applications

Exercises for the book Artificial Intelligence: A Modern Approach

R Functions implementing UCR Matrix Profile Algorithm (http://www.cs.ucr.edu/~eamonn/MatrixProfile.html).

Jupyter metapackage for installation, docs and chat

A List of Awesome Swift Playgrounds

Personal repository of data science demonstrations and references

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Google's Operations Research tools

Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –

Deep Learning for humans

Optimization Case Studies: Generic Time Scheduling Problem (GTSP), Resource-Constrained Project Scheduling Problem (RCPSP) with Pulse Variables

Survival analysis built on top of scikit-learn

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

Python interface to Bluetooth LE on Linux