GitHub
pmv-si-2024-1-pe1-t4-si_t4_app_web_1osem2024_gp02
pmv-si-2024-1-pe1-t4-si_t4_app_web_1osem2024_gp02 created by GitHub Classroom
https://github.com/cyberagentailab/python-dte-adjustment
dte_adj is a Python package for estimating distribution treatment effects. It provides APIs for conducting regression adjustment to estimate precise distribution functions as well as convenient utils.
django_ndr_core
NDR_CORE is a django app which helps you build a web interface for your NDR data. This repository contains the sources to the ndr_core module.
ppt-table-tool
Tool for create - Power Play Table PPT to HEX to DSL File, implemented in OpenCore on your Hackintosh
osemosys_kenya_psm
Repository to host the OSeMOSYS Kenya Power System Model (PSM)
regressionrelloc
A suite of programs for calculating the relative locations of seismic events and the corresponding slowness vectors
group-handbook-template
Template for creating a lab group handbook with Quarto
leaderboard
You can find the most recent KGQA benchmark numbers from publications here.
vicinityanalyzer
Check the neighbouring genes in KEGG genomes for KEGG Orthology (KO), domains and keywords
mfte
MFTE (Multi Feature Tagger of English) Python is the Python version based on Le Foll's MFTE written in Perl. It is extended to include semantic tags from Biber (2006) and Biber et al. (1999), including other specific tags.
galactic-dtd
Source for Dubay et al. (2024), "Galactic Chemical Evolution Models Favor an Extended Type Ia Supernova Delay-Time Distribution"
imripy
A python code able to simulate Intermediate Mass Ratio Inspirals (IMRI)
gfo
The General Formal Ontology is a top-level ontology for conceptual modeling. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations.
talentos-nacionais
pmv-ads-2024-1-e1-proj-web-t1-pmv-ads-2024-1-e1-projtalentosnacionais created by GitHub Classroom
seiscrust
Global database of continental crustal thickness and velocity (and density) profiles determined by local passive and active seismic experiments.
2019-ncov-japan
🦠 Interactive dashboard for real-time recording of COVID-19 outbreak in Japan
predicting-missing-pairwise-preferences-in-gdm
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
noise-pollution-pop-health-naswi
Data analysis tools for research article "Population health implications of exposure to pervasive military aircraft noise pollution"
randlapack
A high-performance C++ library for randomized numerical linear algebra
influence-model
A Python implementation of the influence model, a generative model that describes the interactions between networked Markov chains
puc-eco-vida
pmv-ads-2024-1-e1-proj-web-t5-pmv-ads-2024-1-e1-projpuc-ecovida created by GitHub Classroom
quantum-optical-neuron
A quantum optical setup to classify objects without reconstructing their images.
thz-tds
THz Time-Domain Software for retrieve the refractive index, permittivity and conductivity
tnpa-generalizability
IST'21 & SANER'22: Semantic-Preserving Program Transformations
poster-annotation-tool
Graduation project, a poster annotation tool for poster layout generation.
device-gateway
Device Gateway: Translates OpenQASM3 instructions into commands compatible with various quantum control software platforms.
explainable_heart_disease_prediction_using_ensemble-quantum_ml
An ensemble machine learning model based on quantum machine learning classifiers is proposed to predict the risk of heart disease. The proposed model is a bagging ensemble learning model where Quantum Support Vector Classifier is used as the base classifier. Furthermore, in order to make the model's outcomes more explainable, the importance of every single feature in the prediction is computed and visualized using SHapley Additive exPlanations (SHAP) framework. In the experimental study, other stand-alone quantum classifiers, namely, Quantum Support Vector Classifier (QSVC), Quantum Neural Network (QNN), and Variational Quantum Classifier (VQC) were applied and compared with classical machine learning classifiers such as Support Vector Classifier (SVC), and Artificial Neural Network (ANN).
jsquest
A Bayesian adaptive psychometric method for measuring thresholds in online experiments.
vtserver
A voice transformation server to manipulate sound files for online experiments
stockprime
An inventory management system pointed towards small companies that suffer with logistics. Written with JavaScript through the Node.js ecosystem and data backed with MongoDB.
bso-toolbox
C++ software toolbox to support building spatial design optimization developed at the Eindhoven University of Technology
igor-pro-tools
This repository contains tools for off-line processing of electrophysiological data acquired with Igor Pro.
