jainmilan Goto Github PK
Name: Milan Jain
Type: User
Company: Pacific Northwest National Laboratory
Bio: Data Scientist at PNNL
Location: Richland, Washington
Blog: www.milanjain.com
Name: Milan Jain
Type: User
Company: Pacific Northwest National Laboratory
Bio: Data Scientist at PNNL
Location: Richland, Washington
Blog: www.milanjain.com
To Collect data from Air Conditioner using flyport for Analysis purpose.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
This code is an implementation of fusion move algorithm for stereo matcher. As it includes submodular terms, therefore we have implemented QPBO to find out min cutand energy minimization.
SpDNN Implementations using CuPY, cuSparse, and OpenMP
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python package for hypergraph analysis and visualization.
Residential buildings account for a significant proportion of overall energy consumption across the world. Decentralized room level Air Conditioners (ACs) are a commonplace in developing countries such as India, contributing a significant share (34% in India) of the total residential energy consumption. Option to independently control each AC presents a prime opportunity for an energy saving system. Thus, we propose PACMAN to non-intrusively (using only the temperature information) predict AC energy consumption prior to usage and estimate energy consumption post-usage. We discuss various possible applications and use cases of such feedback for the occupants. To empirically validate the performance of PACMAN, we conducted an in-situ study across seven homes in Delhi (India). We collected around 2200 hours of usage data from the different ACs, room types, and thermostat temperatures. We achieved an average accuracy of 85.3% and 83.7% with the best accuracy of 97.0% and 93.3% for the estimation and prediction of AC energy consumption respectively, across all homes. Towards the end, we discuss various outlier scenarios, opening up multiple directions for further research in this domain.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Simple Building Simulator is a tool to quickly implement thermal models to understand impact of various factors such as weather conditions, activities of occupants, etc on the room temperature. It can approximately simulate the behavior of a building having multiple HVAC zones, depending upon the thermal model. Aim of this project is to develop a tool which is quick and easy to handle for computer scientists working in space of HVAC optimization across residential and commercial buildings.
Simple Building Simulator is a tool to quickly implement thermal models to understand impact of various factors such as weather conditions, activities of occupants, etc on the room temperature. It can approximately simulate the behavior of a building having multiple HVAC zones, depending upon the thermal model. Aim of this project is to develop a tool which is quick and easy to handle for computer scientists working in space of HVAC optimization across residential and commercial buildings.
ZWave-MultiSensor is to collect MultiSensor(EZMotion 3-in-1 MultiSensor) data(light, temperature) on polling basis. Motion data is interrupt based. OpenZWave stack is used to control the multisensors from Aeon ZWave Stick.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.