A code library and benchmark study on SOH estimation of lithium-ion battery

This repo contains code for Applied numerical methods that are taught in engineering undergrad degrees.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Code for RoboFlamingo

Recent LLM-based CV and related works. Welcome to comment/contribute!

Large Language Models for Supply Chain Optimization

Data models related with Manufacturing

🏭 Open Source Manufacturing Execution System for JobShop type manufacturer.

Assets to build operational visibility solutions using Microsoft Manufacturing Cloud

Data models related to the Smart Logistics Domain.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Supply Chain Optimization with Python

Applied Linear Algebra

Solutions for Exercises from Discrete Mathematics and Its Applications by Dr. Keeneth H. Rosen

Machine Learning Resources, Practice and Research

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles

Predicting the RUL of batteries using LSTM.

A Skunkworks project on the NASA battery degradation data at the ECS 232 Hack Day.

Invenio digital library framework

A python based tool for converting point cloud into voxel grid.

NASA Li-ion Battery Aging Datasets

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

Code for constrained School Bus Route Optimization

Implementation from scratch of discrete and continuous probability distributions with examples.

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling