elensto

MSE_Fall2024

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Sex_Diffs

Code and results for sex differences paper from Burrows et al (2022)

Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

fast-formation

Battery fast formation diagnostics and lifetime prediction

vce_Severson-Data-Driven-Prediction_aa6a1bb9

Severson, K.A., Attia, P.M., Jin, N. et al. Data-driven prediction of battery cycle life before capacity degradation. Nat Energy 4, 383–391 (2019). https://doi.org/10.1038/s41560-019-0356-8

vce_University-of-Michigan-Fast-Formation_fa0c7cf8

Weng et al., Predicting the impact of formation protocols on battery lifetime immediately after manufacturing, Joule (2021), https://doi.org/10.1016/j.joule.2021.09.015

Optimization-of-Secondary-Battery-Formation-process

Since the target production volume was not reached due to the issue of quality defects in the formation process that determines battery efficiency, the operation of process is reviewed and optimized as a top priority

formation

Reproducing results of "Predicting the impact of formation protocols on battery lifetime immediately after manufacturing", as part of Voltaiq's VCE Fellowship

Battery-Formation-and-Grading-System

This repository contains the source code for a Battery Formation and Grading System. The code has been written in C programming language and implemented on STM32 microcontroller.

LAB-Bench

Evaluation dataset for AI systems intended to benchmark capabilities foundational to scientific research in biology

pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

positron

Positron, a next-generation data science IDE

TimeSeriesModule

timetk

Time series analysis in the `tidyverse`

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

LLMs-in-science

matchem-llm

A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications

taipy

Turns Data and AI algorithms into production-ready web applications in no time.

llm-resources

MISCHBARES

Millimeter Scale High-Throughput Battery Research System

MITx-6.419-DataAnalysisApplications

Practical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statistics and Data Science on EdX

MIT_6.419x

Data Analysis: Statistical Modeling and Computation in Applications

MSE_Spring2024

The materials for the Spring Mathematics in Materials course at the UTK MSE

BAP3

Figures and code examples from Bayesian Analysis with Python (third edition)

ProbablyOverthinkingIt

Supplementary material for my book, Probably Overthinking It.

ml-tutorial

Introduction to ML packages for the 6.86x course

ARCANA

Package for the early-stage analysis and lifecycle monitoring of battery degradation

MITx-6.00.2x

Coding Exercises for MITx: 6.00.2x Introduction to Computational Thinking and Data Science

MITx-6.00.2x

Coding exercises, Problem Sets, and lecture code for MITx: 6.00.2x Introduction to Computational Thinking and Data Science, EdX, March-May 2017