silingc

silingc's Stars

• umweltatlas/abimo

  Wasserhaushaltsmodell Berlin ABIMO

  Language:C++21

• m-wrzr/populartimes

  Language:Python872171

• n1tecki/Geography-of-Open-Source-Software

  Language:Python325

• numba/numba

  NumPy aware dynamic Python compiler using LLVM

  Language:Python10.6k1.2k

• OpenWaterAnalytics/EPyT

  EPyT: An EPANET-Python Toolkit for Smart Water Network Simulations

  Language:Jupyter Notebook6233

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python11.6k1.9k

• buds-lab/building-data-genome-project-2

  Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

  Language:Jupyter Notebook23591

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.6k13.1k

• sachit27/greenR

  greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is implemented as both an R package and a Shiny web application for user-friendly interaction.

  Language:R13616

• DKSR-Data-Competence-for-Cities-Regions/DKSR-Open-UrbanPulse

  Source Code for Open UrbanPulse Smart City Platform

  Language:Java163

• fwitte/TESPy_teaching_exergy

  Open Source Engineering Course on Exergy Analysis using TESPy

  Language:Jupyter Notebook121

• nilmtk/nilmtk-contrib

  Language:Python13068

• DEDDIAG/deddiag-loader

  Language:Python4

• iskandr/fancyimpute

  Multivariate imputation and matrix completion algorithms implemented in Python

  Language:Python1.3k179

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook11.1k4.3k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook45.5k18.5k

• fakesharper/fakesharper

  ReSharper features for Visual Studio Code

  Language:TypeScript539

• goruck/nilm

  Energy Management Using Real-Time Non-Intrusive Load Monitoring

  Language:Python8516

• esalonico/flight-analysis

  Personal project to scrape, analyze and try different regression techniques for flight ticket prices data.

  Language:Python222

• hydrocode-de/egu2023

  Contents for EGU General assembly 2023

  Language:Python1

• GeoSmartCity-CIP/Buildings-SQL-Data-Model

  SQL implementation of the INSPIRE “Buildings” data themes, extended with extra properties related to energy

  32

• nilmtk/nilmtk

  Non-Intrusive Load Monitoring Toolkit (nilmtk)

  Language:Python885482

• isc-konstanz/household_data

  Data package: time series of consumption and solar generation of several small businesses and private households

  Language:Python4110

• ladybug-tools/uwg

  :city_sunrise: The Urban Weather Generator (uwg) is a Python application for modeling the urban heat island effect.

  Language:Python6827

• protontypes/open-sustainable-technology

  A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

  2.3k291

• BIM2SIM/bim2sim

  A python tool to create simulation models for different domains based on BIM IFC models.

  Language:Python6220

• IPL-UV/AIDE

  Language:HTML204

• gboeing/ppde642

  USC urban data science course series in Python

  Language:Jupyter Notebook1.3k492

• ai4up/eubucco

  European building characteristics: a common and open database

  Language:Jupyter Notebook1024

• IWUGERMANY/DIBS---Dynamic-ISO-Building-Simulator

  Adapted ISO13790 hourly dynamic building energy simulator (DIBS) for single buildings and building stocks - Ready to use with ENOB:dataNWG interview and on-site inspection data for the simulation of German building stocks.

  Language:Python297