Arshid Ali (ArshidAli84)

ArshidAli84

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Company:Machine Learning

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Arshid Ali's starred repositories

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

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hands-on-rl

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

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github-contributions

If you want to beautify your GitHub activity history

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feloopy

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

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real-estate-neighborhood-prediction

Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"

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TimeSeriesGAN

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

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heating-RL-agent

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

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PowerModelsDistributionStateEstimation.jl

A Julia Package for Power System State Estimation.

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PowerModelsADA.jl

A package for solving optimal power flow problems using distributed algorithms.

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Elbas-Deep-Learning

Master Thesis at the Norwegian School of Economics (NHH)

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rl-power-control

Reinforcement Learning for Energy Imbalance Management using Voltage Control on TCLs

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Resilience

This repository contains the MATLAB implementation code of the article "Computation of Stability and Performance related Resilience Measures for Power Systems"

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Signal_Processing_ML_Power_Grids

This is a project involving using signal processing and machine learning analysis techniques in order to analyze signal data from power grid systems and classify whether or not the signals are good or bad (with bad signals corresponding to signals that generate partial discharges and lead to faults/power outages).

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Time-Domain-Simulation-Performance-Benchmark

Python scripts and Jupyter Notebooks for the paper "Performance Benchmark of Modelica Time-domain Power System Automated Simulations using Python" from the American Modelica Conference 2020

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RL-EV-CS-Energy-Management-System

Application of a DNN-LTSM to a energy management system of an electric vehicle charging station

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TSU_AI_Course

Machine Learning Coursework tasks for 3rd year bachelor students

covid19-nn-forecasting

Forecasting COVID-19 growth rates using neural networks

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ggflowchart

R package for producing flowcharts using ggplot2.

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Power-grid-security-inspection

This repository aims to achieve the detection of objects around the transmission line that affect the safety of power transmission.

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Towards-Electric-Grid-Stability-using-ML-for-NTL-Detection

SGCC equipment inspection using Histogram Gradient Boosting for health assessment.

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AutoML-Tabular

Vertex AI Python client library for training and deployment of a tabular classification model for online prediction

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RTS-GMLC

Reliability Test System - Grid Modernization Lab Consortium

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PowerModels.jl

A Julia/JuMP Package for Power Network Optimization

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andes

Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥

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Data_Scholars_Energy_Time_Series_Project

This is a project I worked on for the UC Berkeley Data Scholars Discovery program that involved using ARIMA models to create time series forecasts of electricity production levels in the U.S.

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Deep_Learning

This is a collection of programs I've made that involve using Deep Learning for different tasks.

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PowerGenome

A tool to quickly and easily create inputs for power systems models

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PowerModelsProtection.jl

Fault study formulations for PowerModels and PowerModelsDistribution

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nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

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