Alternatives and similar repositories for Hands-On-Explainable-AI-XAI-with-Python

Users that are interested in Hands-On-Explainable-AI-XAI-with-Python are comparing it to the libraries listed below

• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆475Updated this week
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated last month
• deepfindr / xai-series
  ☆214Updated 4 years ago
• PacktPublishing / Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection
  Deep Learning and XAI Techniques for Anomaly Detection, published by Packt
  ☆41Updated this week
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆186Updated last year
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆342Updated last year
• PacktPublishing / Hands-On-One-shot-Learning-with-Python
  Hands-On One-shot Learning with Python, published by Packt
  ☆54Updated last month
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 3 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆220Updated this week
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 6 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆91Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆336Updated this week
• dataman-git / codes_for_articles
  ☆180Updated 8 months ago
• MLWhiz / data_science_blogs
  A repository to keep track of all the code that I end up writing for my blog posts.
  ☆251Updated 3 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆139Updated last year
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆76Updated 2 years ago
• thampiman / interpretable-ai-book
  Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
  ☆64Updated 4 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆95Updated 2 years ago
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆110Updated 2 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆107Updated 2 months ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 4 years ago
• PacktPublishing / Deep-Learning-with-PyTorch-Lightning
  Getting Started with PyTorch Lightning, Published by Packt
  ☆162Updated this week
• PacktPublishing / Machine-Learning-Using-TensorFlow-Cookbook
  Machine Learning Using TensorFlow Cookbook, published by Packt
  ☆69Updated this week
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• lmassaron / deep-learning-for-tabular-data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆48Updated 5 months ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆187Updated this week
• Apress / hands-on-time-series-analylsis-python
  Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
  ☆366Updated 5 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆105Updated 2 years ago
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆339Updated this week
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆27Updated 3 years ago