ghellstern Goto Github PK
Name: Gerhard Hellstern
Type: User
Bio: Prof. in Finance and related Computer Science. Interested in Machine Learning, Simulation, Network models, R and Python
Location: Germany
Name: Gerhard Hellstern
Type: User
Bio: Prof. in Finance and related Computer Science. Interested in Machine Learning, Simulation, Network models, R and Python
Location: Germany
Repository with notebooks for Qiskit Challenge India 2020
Code like a pro!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome machine learning interpretability resources.
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.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome R frameworks, packages and software.
A simple walkthrough of using AWS Machine Learning
Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge
Code and materials for Python intro. course.
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Source Code for my blog post: A Practical Introduction to Blockchain with Python
A high-performance tool for blockchain science and exploration
Repository for code used in my blog posts
UC Berkeley's software and documentation for Breakthrough Listen data
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London
Repositório com Jupyter Notebooks sobre computação clássica e quântica aplicadas ao mercado financeiro em suporte ao artigo relacionado
COMS W4995 Applied Machine Learning - Spring 20
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.