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Name: Simon Brugman
Type: User
Bio: Data Scientist/Engineer
Blog: simonbrugman.nl
Name: Simon Brugman
Type: User
Bio: Data Scientist/Engineer
Blog: simonbrugman.nl
This task develops image enhancement approaches that project user privacy. Specifically, it is dedicated to creating technology that invisibly changes or visibly enhances images in such a way that it is no longer possible to automatically infer the location at which they were taken.
Automated filling of __init__.py
Our base image includes pip and conda
Declarative statistical visualization library for Python
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Metadata service library for Amundsen
Assignment on authorship attribution created for the course Text and Multimedia Mining, Radboud University, Nijmegen.
Given someone's photo, generates a new image with best matching background. (Implemented in pytorch)
Bitly v4 API
The uncompromising Python code formatter
Python package to determine characteristics of Boolean functions [noise sensitivity, expected values, etc.]
A fine tuned caffe model that recognizes logos in images, together with a web demo.
📙 Super lightweight function registries for your library
Tool to check the completeness of MANIFEST.in for Python packages
A sequence predictor.
Generate changelogs and release notes from a project's commit messages and metadata.
The country converter (coco) - a Python package for converting country names between different classification schemes.
The Python programming language
Conditional GAN for generating synthetic tabular data.
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
DataPrep: Data Preparation in Python
Python package for deduplication/entity resolution using active learning
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.
Deep Clustering for Unsupervised Learning of Visual Features
Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Documentation for Slidev
A script to find and delete duplicate images using pHash.
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
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.