There are 2 repositories under reproducible-experiments topic.
Open solution to the Home Credit Default Risk challenge :house_with_garden:
awesome open list of pointers about open science for software and computational science
Open solution to the Google AI Object Detection Challenge :maple_leaf:
Open solution to the Santander Value Prediction Challenge :tropical_fish:
Empirical Software Engineering journal (EMSE) open science and reproducible research initiative
Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
This repository is for easybuild open source contributions without restrictions - add your username under the /users directory
Spam Filtering Techniques for Short Message Service
Architecture and overarching documentation for o2r microservices
Tool demonstrating building credit risk models
Python code to reproduce our article "Toward faultless content-based playlists generation for instrumentals"
Print session information
Paper list and implementation (codes and results) of CNN-based single image super-resolution.
Experimental artefacts to reproduce our results published at SoCC 2017
Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots using a fork of Kindred AI's SenseAct https://github.com/dti-research/SenseAct
Examples for Executable Research Compendia and compatible workspaces
đź“Š Reproducible Benchmark for Everyone
This protocol describes the measurement of epithelial barrier permeability in real-time following pharmacologic treatment in human intestinal organoids using fluorescent microscopy and live cell microscopy
Source code and data for the paper "Data Assimilation in Large Prandtl Rayleigh-BĂ©nard Convection from Thermal Measurements" by A. Farhat, N. E. Glatt-Holtz, V. R. Martinez, S. A. McQuarrie, and J. P. Whitehead.
Details for reproducing the experiments in our d-blink paper
Workshop materials for a course introducing digital scholarship and open research
A simple Lucene framework to get started with Information Retrieval experiments on TREC documents
Reproducible case for @std/esm + couchbase-node bug
Reproducers for bugs/concepts in tox
A logical and reasonably simple project structure for developing quantitative trading work like strategies and research works.