The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

RAG Time: A 5-week Learning Journey to Mastering RAG

This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you c…

Curious about Generative & Agentic AI? In this beginner-friendly series, we'll break down the basics with fun doodles and simple explanations. First, you'll get the core ideas, then we'll explore h…

A python package for homogeneity test of time series data.

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.

Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Kernel Learning with Maximum Mean Discrepancy for Detecting Time Series Change Points

Hierarchical Change-Point Detection

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

Bayesian online change point detection and offline learning

Bayesian Online Change Point Detection for 1-dimensional time series, in VBA.

Uma classe LaTeX para dissertações, teses e propostas do Programa de Pós-Graduação em Ciência da Computação (PPGCC) da Universidade Federal de Minas Gerais (UFMG).

Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation

A collection of inspiring resources related to engineering management and tech leadership

A density ratio estimator package for python using the KLIEP algorithm.

Overview of the peaks dectection algorithms available in Python

Change point detection by using density ratio estimation

Working on Icentia ECG data.

Disciplina: Introdução a banco de dados

A collection of packages for working with time series analysis using Bandt-Pompe and information theory descriptors

A Python package for time series classification

Proposes non-parametric estimates of the Fisher Information Measure and the Shannon Entropy Power. The package contains also some bandwidth selectors for kernel density estimate.

Implementations for the Bandt-Pompe Ordinal Patterns functions

Entropy for Python

The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

A number of different approaches to detect contextual anomalies in the IoT dataset