PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python

Related projects ⓘ

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

• deepfindr / xai-series
  ☆184Updated 3 years ago
• PacktPublishing / Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection
  Deep Learning and XAI Techniques for Anomaly Detection, published by Packt
  ☆36Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆237Updated last year
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆443Updated last year
• Apress / beginning-anomaly-detection-using-python-based-dl
  Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
  ☆82Updated 5 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆161Updated 2 months ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆260Updated last year
• thampiman / interpretable-ai-book
  Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
  ☆56Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆85Updated 2 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆130Updated last year
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆70Updated last year
• alexandrainst / responsible-ai
  Responsible AI knowledge base
  ☆97Updated last year
• goodboychan / goodboychan.github.io
  jupyter blog
  ☆129Updated 10 months ago
• YousefGh / kmeans-feature-importance
  Adding feature_importances_ property to sklearn.cluster.KMeans class
  ☆64Updated last year
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆264Updated last year
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 4 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆111Updated last month
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆185Updated 6 months ago
• rasbt / stat451-machine-learning-fs21
  ☆146Updated 2 years 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…
  ☆72Updated 2 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆72Updated 2 years ago
• PacktPublishing / Machine-Learning-Using-TensorFlow-Cookbook
  Machine Learning Using TensorFlow Cookbook, published by Packt
  ☆67Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 7 months ago
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆35Updated 3 years ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆66Updated 2 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆70Updated last year
• giorgiovisani / lime_stability
  ☆33Updated 4 months ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 4 months ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆300Updated last week