Meaningful Local Explanation for Machine Learning Models
☆42Apr 2, 2023Updated 2 years ago
Alternatives and similar repositories for melime
Users that are interested in melime are comparing it to the libraries listed below
Sorting:
- Meta-Feature Extractor☆32Mar 25, 2022Updated 3 years ago
- Post-hoc Nemenyi test for algorithm statistical comparison.☆22Aug 6, 2020Updated 5 years ago
- ☆16Jan 8, 2019Updated 7 years ago
- Python Meta-Feature Extractor package.☆139Aug 17, 2025Updated 6 months ago
- Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. …☆11Nov 9, 2019Updated 6 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Dec 2, 2021Updated 4 years ago
- K-Nearest Neighbors Time Series Prediction with Invariances☆12May 29, 2024Updated last year
- Extra functionalities for river☆14May 15, 2024Updated last year
- Implementation of a 3D face reconstruction model from low-resolution images.☆11Nov 14, 2019Updated 6 years ago
- UCI++: A huge collection of preprocessed datasets for supervised classification problems in ARFF format☆59Jul 3, 2016Updated 9 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 2 years ago
- BioAutoML: Automated Feature Engineering and Metalearning☆42Nov 4, 2025Updated 4 months ago
- ☆17Jan 4, 2022Updated 4 years ago
- Get Slack notifications while training FastAI models☆13May 20, 2019Updated 6 years ago
- An in-database machine learning solution to run python models in Postgres☆18Jul 19, 2022Updated 3 years ago
- Lectures on "Big Data Sets in Astronomy" by Zeljko Ivezic at Sao Paulo School of Advanced Science on Learning from Data, July 31 - Aug 2,…☆15Aug 5, 2019Updated 6 years ago
- ☆14Jul 4, 2020Updated 5 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 6 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Jun 22, 2022Updated 3 years ago
- The simplest way to deploy a machine learning model☆24Nov 19, 2022Updated 3 years ago
- year when a certain warming level was reached in CMIP5 and CMIP6 data☆29Nov 7, 2025Updated 4 months ago
- Jogos Educativos Didático☆10Sep 26, 2024Updated last year
- machine learning for the atmospheric sciences - a CSU course☆34Oct 30, 2023Updated 2 years ago
- Deploy Jupyter on your cloud provider of choice☆33Updated this week
- Artificial Intelligence's lectures for Computer Engineering course, UTFPR - Apucarana☆10Nov 11, 2025Updated 3 months ago
- Dataset and code for the CLEVR-XAI dataset.☆33Oct 3, 2023Updated 2 years ago
- code for simple models of the atmosphere and ocean☆32Dec 5, 2021Updated 4 years ago
- Helper functions for postprocessing and analysis of climate data. Also includes I/O routines, constants, and plotting helpers.☆37Feb 12, 2026Updated 3 weeks ago
- This repository contains the Datasheets for Earth Science Datasets templates for community use.☆10Apr 21, 2025Updated 10 months ago
- My recipes for doing continuous wavelet and biwavelet analysis.☆13Feb 4, 2022Updated 4 years ago
- Deep Learning Part 2, 2019 edition - transcriptions, screenshots and notebooks☆11Jul 19, 2019Updated 6 years ago
- Front-Detection Neural Network minimal Code☆11Jan 30, 2023Updated 3 years ago
- Demo bear classifier with fastai and Voila☆39Nov 2, 2023Updated 2 years ago
- The Climate Variability Diagnostics Package for Large Ensembles (CVDP-LE) developed by NCAR's Climate Analysis Section is an automated an…☆11Jun 10, 2024Updated last year
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- Real-time YouTube comment sentiment analysis using Kafka, Spark, and Streamlit dashboard.☆10Oct 2, 2024Updated last year
- Notebooks for CS4305TU Regression Lectures☆11Oct 14, 2022Updated 3 years ago
- Implementations of two-layer models by Held et al. and Geoffroy et al.☆11Feb 27, 2024Updated 2 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Apr 3, 2021Updated 4 years ago