Evaluation and Tracking for LLM Experiments
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Updated
Jun 9, 2024 - Jupyter Notebook
Evaluation and Tracking for LLM Experiments
Fit interpretable models. Explain blackbox machine learning.
A curated list of awesome responsible machine learning resources.
moDel Agnostic Language for Exploration and eXplanation
A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.
Interpretable Machine Learning via Rule Extraction
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
👋 Xplique is a Neural Networks Explainability Toolbox
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
GraphXAI: Resource to support the development and evaluation of GNN explainers
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Real-time explainable machine learning for business optimisation
Comparisons of methods used to measure model interactions
Automating machine learning training and save an SQL version of the model
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
AntakIA is THE tool to explain an ML model or replace it with a collection of basic explainable models.
Robust regression algorithm that can be used for explaining black box models (Python implementation)
A PyTorch implementation of constrained optimization and modeling techniques
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
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