IEEE

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Abstract: The sample selection approach is popular in learning with noisy labels. The state-of-the-art methods train two deep networks simultaneously for sample selection, which aims to employ their ...
GitHub

Data Warehouse and Analytics Project

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...
GitHub

A logical, reasonably standardized but flexible project structure for doing and sharing data science work.

Cookiecutter Data Science (CCDS) is a tool for setting up a data science project template that incorporates best practices. To learn more about CCDS's philosophy, visit the project homepage. If you ...
UNDP

Call for Proposals under the EU-funded “EU4Dialogue - Phase II” project

UNDP is pleased to announce a Call for Proposals under the EU-funded “EU4Dialogue - Phase II” project. The Call aims to support locally led grassroots initiatives in the priority border communities of ...