comchem

30DayChartChallenge

My chart for the 30DayChartChallenge

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

awesome-R

A curated list of awesome R packages, frameworks and software.

awesome-r-dataviz

Curated resources about Data Visualization, Drawing & Publishing in R

battery-fast-charging-optimization

This repository contains much of the data, code, and visualizations associated with this manuscript:

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

codehover

Hoverable HTML Table for Displaying Intermediary Code Results (e.g. Pipes)

data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

Code for Nature energy manuscript

Deep-Learning_with_Pytorch-Lightning

Deep_Learning_Study

easyMTS

Create and evaluate diagnostics using the Mahalanobis-Taguchi System (MTS) to distinguish "good" observations from "bad" ones. Uses the approach and formulas from Yang & Trewn (2004), Multivariate Statistical Methods in Quality Management. Uses signal-to-noise formulas from Taguchi, Chowdhury & Wu (2005), Taguchi's Quality Engineering Handbook.

HarvardX-PH125.8x-Data-Science-Machine-Learning

HarvardX: PH125.8x | Data Science: Machine Learning

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

machine_learning_examples

A collection of machine learning examples and tutorials.

mastering-shiny

Mastering Shiny: a book

Predicting-Molecular-Properties

Submission for Kaggle Competitions

Prediction_of_battery

psi-k-mlip-workshop-2021

Psi-k Machine-learning interatomic potential workshop 2021

pyepal

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

Pytorch_DeepLearning_Tutorials

resources

A Highly Opinionated List of Open Source Materials Informatics Resources

Standalone-DeepLearning

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

tidytuesday

Official repo for the #tidytuesday project

trixs

Toyota Research Institute X-ray Spectroscopy. Tools for machine learning of XANES.