Name: Anastasiia
Type: User
Company: Johannes Hübner - Fabrik elektrischer Maschinen GmbH
Bio: "The real winners in life are the people who look at every situation with an expectation that they can make it work or make it better" B. A. Pletcher
Location: Giessen, Germany
Blog: https://github.molgen.mpg.de/anastasiia
Anastasiia's Projects
This is a repository for our team's submission for the aiTalents program from TechQuartier.
This is an Android app for my Amulet anomaly detection service.
Learn how to build ANN using scikit learn then convert the model to run on any embedded platform
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection for time-series using Multilevel Wavelet Decomposition Networks.
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
A curated list of awesome Android UI/UX libraries
Curated list of python software and packages related to scientific research in audio
LSTM Neural Network that tries to write piano melodies similar to Bach's
Compare GAN code.
Under development. Autoencoder L1 tested.
My Curriculum Vitae, generated in Python via Jinja from JSON fields into HTML. http://timsainburg.com/pages/cv.html
Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation
This is a repository for data science specialization on coursera
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
DCGAN face generator 🧑.
In this repo I show how to simple create an API for your machine learning models in Python
A small script to find peaks from the .bigWig file and output them in a .bed file.
GAN in Tensorflow to be run via Linux command line
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
An emoji guide for your commit messages. 😜
Code and configuration snippets for the course.
Google IT Automation with Python Professional Certificate - Practice files
Learning wavelet transforms for audio compression
Anomaly Detection and Correlation library
Launch machine learning models into production using flask, docker etc.
This repository contains the whole process to build a machine learning model using python and also explain the steps to deploy it using Flask web framework.