Name: Rasheed Ibraheem
Type: User
Company: Maxwell Institute for Mathematical Sciences, School of Mathematics, University of Edinburgh, The Kings buildings
Bio: PhD Student in Mathematical Modelling, Analysis, and Computation
Location: Edinburgh, Scotland
Rasheed Ibraheem 's Projects
A repository that contains the codes for the experiments performed in the published paper "Capacity and Internal Resistance of lithium-ion batteries: Full degradation curve prediction from Voltage response at constant Current at discharge".
Code for Nature energy manuscript
[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
This repository contains the codes for feature generation, selection and model building.
The code from the Machine Learning Bookcamp book and a free course based on the book
This dashboard showcases the distribution of chargepoints in the UK.
In this study, we provided a proof of concept for building machine-learning models capable of predicting the EOL, RUL, and whether a cell has passed the EOL using a single Hybrid Pulse Power Characterization (HPPC) test data that span across nine different cathode chemistries.
My personal repository
This repository contains code for the app "Rethink presentation" that helps researchers to produce publication-grade figures and tables.
A modified RRCT algorithm implemented in Python based on the original implementation of A. Tsanas
This dashboad showcases how to reactively render KPIs and plots using shiny Python library.
This repository contains the codes for all the experiments performed in the paper 'Early prediction of Remaining Useful Life for Lithium-ion cells using only signatures of voltage curves at 4 minute sampling rates'.
A multi-page streamlit app for geospatial
streamlit-option-menu is a simple Streamlit component that allows users to select a single item from a list of options in a menu.
A copier template repository for a e2e batch ZenML MLOps pipeline.
Templates for your base ZenML projects!
Vertex AI e2e pipeline with classification problem case using AutoML.
Vertex custom training with Vertex AI using a prebuilt Docker container and BigQuery source data.
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud