zhili51 Goto Github PK

abmarl

Agent Based Modeling and Reinforcement Learning

abmgis

Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.

active_learning_regional_risk_assessment

Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: An Active Learning Approach

ames

AMES (Agent-based Modeling of Electricity Systems) is the software implementation, in Java/Python, of the AMES Wholesale Power Market Test Bed.

beam

The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems

beam-core-analysis

Centralized repository of LBNL analysis pipelines

bigdata_final

bili

谢谢大家的赞呀~加油加油~有不懂的可以私信我哦（只要我会的尽量帮忙解答）

blastfoam

A CFD solver for multi-component compressible flow with application to high-explosive detonation, explosive safety and air blast

chargym-charging-station

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC)

collapseview

Building damage classifier based on satellite imagery

compute-course-public

Course material for the COMPUTE course - Scientific Program in Python and Fortran

computer-vision_i6716_ccny

Repository for City College course Computer Vision I6716

cs-7641-machine-learning-notes

In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.

cs7280_network_science

damagedetection

deap

Distributed Evolutionary Algorithms in Python

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepenergymethods

deepimageinpainting

Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.

deeplearning

深度学习、强化学习、模仿学习与机器人

deeplearning-1

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeprl-chinese

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

disadvantaged_community_identification_model

ercot_power

ercottestsystem

The ERCOT Test System permits the dynamic study of the ERCOT (Texas) ISO-managed wholesale power market operating over a high-voltage transmission grid during successive days, with grid congestion handled by Locational Marginal Pricing (LMP). The ERCOT Test System is implemented in part by AMES V5.0.

ev-charger-prediction

Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with the most potential for financial success for new electric vehicle chargers.

ev_chargepoint_prediction

This project entailed building a machine learning classification model for predicting the presence of EV charging stations in a location based on socio-economic, transportation and geo-spatial characteristics acquired from public and government data. The model was then used to further explored areas of potential for new EV charge point installatio