Anastasiia (petrokvitka)

petrokvitka

Geek Repo

Company:Johannes Hübner - Fabrik elektrischer Maschinen GmbH

Location:Giessen, Germany

Home Page:https://github.molgen.mpg.de/anastasiia

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Anastasiia's repositories

ai_talents

This is a repository for our team's submission for the aiTalents program from TechQuartier.

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CWT_CNN

Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation

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luminol

Anomaly Detection and Correlation library

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amulet_anomaly_detection_androidapp

This is an Android app for my Amulet anomaly detection service.

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ANN_from_Scikit_learn_to_Embedded_Systems

Learn how to build ANN using scikit learn then convert the model to run on any embedded platform

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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AnomalyDetection.MWDN

Anomaly Detection for time-series using Multilevel Wavelet Decomposition Networks.

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TOBIAS

Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal

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awesome-android-ui

A curated list of awesome Android UI/UX libraries

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awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

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curriculum_vitae

My Curriculum Vitae, generated in Python via Jinja from JSON fields into HTML. http://timsainburg.com/pages/cv.html

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datasciencecoursera

This is a repository for data science specialization on coursera

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datasharing

The Leek group guide to data sharing

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ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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gitmoji

An emoji guide for your commit messages. 😜

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hands_on_linux-self_hosted_wordpress_for_linux_beginners

Code and configuration snippets for the course.

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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Machine-Learning-Deployment

Launch machine learning models into production using flask, docker etc.

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models

Models and examples built with TensorFlow

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my_threejs_project

testing the three.js

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ngwl_predict_customer_churn

This is the submission code for the NGWL Kaggle competition.

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portfolio-website

Building a portfolio website from scratch to showcase my data science projects

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siml

Machine Learning algorithms implemented from scratch

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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test_for_coursera

this directory is an assignment for coursera

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three.js

JavaScript 3D library.

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Tkinter-By-Example

Learn Tkinter By Example - a free book

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