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Name: Andrei Dmitrenko
Type: User
Company: D ONE | Data Driven Value Creation
Bio: Data & AI consultant | Researcher | Dr. sc. ETH Zurich
Location: Zürich, Switzerland
Name: Andrei Dmitrenko
Type: User
Company: D ONE | Data Driven Value Creation
Bio: Data & AI consultant | Researcher | Dr. sc. ETH Zurich
Location: Zürich, Switzerland
Projects from "Introduction to Machine Learning" at ETHZ
Preface to FI-MS baseline prediction and data normalisation using spiked-in ISs
LeetCode problems: practising Java / C++
Core of the platform for monitoring mass-spec performance
Comparison of representations learned with 16 deep learning setups trained under identical conditions on 770k biological image dataset. Weakly-supervised vs unsupervised vs self-supervised vs regularized learning.
RALPS: regularised adversarial learning for eliminating batch effects in omics data
Self-supervised learning for studying temporal and morphological drug effects in cancer cell images + ConvAE trained on 1M image dataset for transfer learning applications
Follow-up on ms_feature_extractor
Agent-based TF dynamics simulator
A Shiny web-service for monitoring mass-spec performance
Repository for tasks from course "Statistical Models in Computational Biology"
Tasks from Stepik online courses "Algorithms: theory and practice"
Kaggle: Tabular Playground Series — Mar 2021
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.