GiovannaR

doodle-to-code

From Doodle to Code: Understand the concepts of Generative AI principles through doodles and apply the knowledge by coding!

pyHomogeneity

A python package for homogeneity test of time series data.

llm-zoomcamp

LLM Zoomcamp - a free online course about building a Q&A system

data-scientist-handbook

This is a repo with links to everything you'd ever want to learn about data science

LLMs-from-scratch

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

KL-CPD

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

HierCPD

Hierarchical Change-Point Detection

klcpd_code

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

Changepoints

Bayesian online change point detection and offline learning

Change-Point-Detection

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

ppgccufmg

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).

TIRE

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

engineering-management

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

pykliep

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

py-findpeaks

Overview of the peaks dectection algorithms available in Python

change_point_detector

Change point detection by using density ratio estimation

blogs

icentia-ecg

Working on Icentia ECG data.

ibd

Disciplina: Introdução a banco de dados

Bandt-Pompe-packages

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

pyts

A Python package for time series classification

FiShPy

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.

bandt_pompe

Implementations for the Bandt-Pompe Ordinal Patterns functions

pyEntropy

Entropy for Python

TCPD

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

TCPDBench

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

Unsupervised-Anomaly-Detection

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

ADRepository-Anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

mseg-api

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

pdd-stac

Sample STAC catalog and templating for Planet Disaster Data