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Gerhard Hellstern's Projects

2020 icon 2020

Repository with notebooks for Qiskit Challenge India 2020

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-notebooks icon awesome-notebooks

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-r icon awesome-r

A curated list of awesome R frameworks, packages and software.

bci-challenge-ner-2015 icon bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

bitcoinbook icon bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

blocksci icon blocksci

A high-performance tool for blockchain science and exploration

breakthrough icon breakthrough

UC Berkeley's software and documentation for Breakthrough Listen data

cadl icon cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

classifierplots icon classifierplots

Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call

compfinlecture icon compfinlecture

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London

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