uo236943's Stars
Lei-Kun/FJSP-benchmarks
The public benchmark instances of flexible job shop scheduling problem
oafbot/ebmschedule
Optimization algorithms to solve the general problem of Optimal Maintenance Scheduling for Aircraft or other types of vehicles when there are limited resources available to deliver such maintenance to a fleet of aircraft or other kind of bundle of vehicles.
renault-iaa/challenge-roadef-2022
challenge EURO/ROADEF 2022 on RENAULT's truck loading : documents and issues
brendanartley/Regressio
A python library for univariate regression, interpolation, and smoothing.
alteryx/featuretools
An open source python library for automated feature engineering
couler-proj/couler
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
kevaldoshi17/TiSAT
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
tmolteno/necpp
NEC2++ is a C++ rewrite of the Numerical Electromagnetics Code (NEC-2) with many new features like automatic error detection when you specify the structure incorrectly and much faster execution. Nec2++ can analyse radiating as well as scattering properties of structures. The simulation engine in Nec2++ is compiled into a library for easy integration into automatic antenna design systems or GUI tools. Examples are included for using Nec2++ from C/C++, Ruby and Python.
Anvoker/MicrogridPSO
Binary Particle Swarm Optimization applied to the unit commitment problem in an electric microgrid.
TheAlgorithms/Python
All Algorithms implemented in Python
Golbstein/Keras-segmentation-deeplab-v3.1
An awesome semantic segmentation model that runs in real time
hlamba28/UNET-TGS
Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
bonlime/keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
Mamcose/NSL-KDD-Network-Intrusion-Detection
Machine Learning Algorithms on NSL-KDD dataset
dvillevald/hand_gesture_classifier
Make your own hand command classifier and deploy on Edge AI device - Google AIY Vision kit
RicardoMoya/FootballMatchesDataSet
El objetivo de publicar este DataSet es el de abrir una nueva área de investigación dentro del Machine Learning para la predicción de resultados en partidos de fútbol; a priori, arrojando un resultado en formato quiniela (1X2), aunque podría ser extensible a la predicción del resultado final.