alibi
by SeldonIO
Algorithms for explaining machine learning models
AI summary
Model explainer
A Python library for explaining machine learning models
- stars
- 2.4K
- forks
- 252
- watching
- 56
- awesome lists
- 4
Similar projects
Found by comparing what the projects do, not just their names.
shap/shap23.1K
Model explainer
Provides an algorithm to explain the output of machine learning models using game theory and Shapley values.
keon/algorithms24.1K
Algorithms library
A collection of Python implementations of various algorithms and data structures.
ML automation tool
An automation tool for machine learning workflows in Python
clips/pattern8.8K
Web miner
A comprehensive Python module for web mining and analysis of text data.
meta-llama/codellama16.1K
Code generator
Provides inference code and tools for fine-tuning large language models, specifically designed for code generation tasks
Machine Learning Labs
Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics
ML model transparency
Teaching software developers how to build transparent and explainable machine learning models using Python
AI model explainer
An open-source package for explaining machine learning models and promoting transparency in AI decision-making
Image generation tool
An SDK for interacting with Stability AI's APIs to generate images and other artifacts through latent diffusion inference.
Anomaly detector
A deep learning library for detecting anomalies in data with algorithms and tools for benchmarking, training, and deploying models.
interpretml/dice1.4K
Model explanations
Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding.
Text classifier
A Python package implementing an interpretable machine learning model for text classification with visualization tools
pgmpy/pgmpy2.8K
Bayesian network library
A Python package for working with Bayesian Networks and related models.
Model interpreter
Provides tools and techniques for interpreting machine learning models
Model finder
A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data.
Featured in 4 awesome lists
Each link jumps to the spot where the list mentions alibi.
