Interpretable Machine Learning with Python, published by Packt
☆486Mar 2, 2026Updated 5 months ago
Alternatives and similar repositories for Interpretable-Machine-Learning-with-Python
Users that are interested in Interpretable-Machine-Learning-with-Python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interpretable ML with Python, 2E - published by Packt☆111Mar 2, 2026Updated 5 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆250Mar 2, 2026Updated 5 months ago
- ☆11Jan 30, 2023Updated 3 years ago
- Python Feature Engineering Cookbook, published by Packt☆498Mar 2, 2026Updated 5 months ago
- Tensorflow 2.0 Computer Vision Cookbook, published by Packt☆50Feb 11, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆682Jun 17, 2024Updated 2 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆23Nov 19, 2019Updated 6 years ago
- Regression Modeling With Statistics and Machine Learning in Python by Packt Publishing☆17Oct 31, 2022Updated 3 years ago
- Code central to the analysis reported by Walker et al. (2022) on the global potential for increased storage of carbon on land.☆18May 23, 2022Updated 4 years ago
- Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C☆68Sep 12, 2020Updated 5 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,286Mar 30, 2025Updated last year
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Dec 2, 2021Updated 4 years ago
- R Data Visualization Recipes, published by Packt☆16Jan 30, 2023Updated 3 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25May 9, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This book is for total beginners who are interested to learn the python flask framework,this book does not contain any advanced concept…☆14Feb 8, 2020Updated 6 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆38Mar 30, 2022Updated 4 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,485Jul 15, 2026Updated 3 weeks ago
- For calculating global feature importance using Shapley values.☆294Aug 3, 2026Updated last week
- Python code to create the Observational Large Ensemble.☆11Feb 13, 2023Updated 3 years ago
- Deep Learning with fastai Cookbook, published by Packt☆63Apr 22, 2026Updated 3 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,253Jul 28, 2026Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,523Jul 13, 2025Updated last year
- Data Scraping and Data Mining from Beginner to Pro with Python, by Packt publishing☆14Jan 30, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul☆79Mar 2, 2026Updated 5 months ago
- Python for Everyday Life, published by Packt☆59Oct 11, 2023Updated 2 years ago
- Mastering PyTorch, published by Packt☆347Apr 22, 2026Updated 3 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,612Aug 3, 2026Updated last week
- Replication code and data links for Schwarzwald and Lenssen, 2022, The importance of internal climate variability in climate impact proje…☆13Jul 13, 2023Updated 3 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Jul 6, 2023Updated 3 years ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- Streamlit web application that clusters and classifies market research data so marketing teams can focus on the most impactful variables …☆15Mar 7, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A curated list of awesome responsible machine learning resources.☆4,052Jun 3, 2026Updated 2 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆228Mar 2, 2026Updated 5 months ago
- Graph Machine Learning, published by Packt☆349Apr 22, 2026Updated 3 months ago
- Machine Learning for Time-Series with Python.Published by Packt☆311Mar 2, 2026Updated 5 months ago
- A collection of research materials on explainable AI/ML☆1,649Mar 7, 2026Updated 5 months ago
- Paper and talk from KDD 2019 XAI Workshop☆19May 31, 2020Updated 6 years ago
- xarray-based wavelet analysis☆16Oct 14, 2022Updated 3 years ago