fractals-one Goto Github PK

battery-state-estimation

Estimation of the State of Charge (SOC) of Lithium-ion batteries using Deep LSTMs.

battery-state-of-charge-estimation

Predict battery state of charge (SOC) using machine learning + Streamlit web app.

battery_soc_estimation

Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.

bms-dnn

This project implements a battery management system (BMS) that uses a deep neural network (DNN) to predict the state of charge (SOC) of a battery based on measured sensor data. The BMS is implemented in Python using the TensorFlow and Keras libraries.

cheatsheets

RStudio Cheat Sheets

cleaning-data

getting and cleaning of the UCS HAR Dataset

coursera-certificates

coursera certificates

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

datasharing

The Leek group guide to data sharing

decentralized-battery-health-forecast

Decentralized Deep Learning Approach for Lithium-Ion Batteries State of Health Forecasting Using Federated Learning.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exponential_distribution_and_its_comparision_with_clt

factors-affecting-miles-per-gallon-of-gas-for-a-car

kicad-library

The schematic and 3D libraries supported by KiCad team. Note that the footprint libraries are the *.pretty repos themselves.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pslab-hardware

PSLab Hardware Design and Schematics https://pslab.io

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

reproducible-research

swirl

:cyclone: Learn R, in R.

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

synthetic-battery-data

Generation of synthetic battery operation data using a generative adversarial network (GAN) and a state-of-charge (SOC) estimator.

tooth-growth-data-analysis