elsto's starred repositories
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.
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
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.
matchem-llm
A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications
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
ProbablyOverthinkingIt
Supplementary material for my book, Probably Overthinking It.
ml-tutorial
Introduction to ML packages for the 6.86x course
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