thampiman / interpretable-ai-bookLinks
Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
☆63Updated 3 years ago
Alternatives and similar repositories for interpretable-ai-book
Users that are interested in interpretable-ai-book are comparing it to the libraries listed below
Sorting:
- Explainable AI with Python, published by Packt☆164Updated 2 years ago
- ☆85Updated 2 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆94Updated 6 months ago
- Inside Deep Learning: The math, the algorithms, the models☆260Updated last year
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆67Updated 6 years ago
- ☆205Updated 4 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Code and documentation for experiments in the TreeExplainer paper☆185Updated 5 years ago
- legend☆207Updated last year
- Interpretable Machine Learning with Python, published by Packt☆470Updated 2 years ago
- Graph Machine Learning, published by Packt☆297Updated last month
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆335Updated 10 months ago
- Distributed Machine Learning with Python, published by Packt☆41Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- ☆94Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆89Updated 2 years ago
- Course material for 1RT700 Statistical Machine Learning☆62Updated 6 months ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆46Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last month
- Materials for conference talks and workshops☆32Updated last month
- Bayesian Analysis with Python - Second Edition, published by Packt☆134Updated 4 years ago
- Data Efficient Decision Making☆247Updated 3 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆183Updated last year
- ☆31Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- jupyter blog☆131Updated last year
- Machine Learning and Artificial Intelligence for Medicine.☆454Updated 2 years ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆39Updated last year