Optimizing Mind static website v1
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Updated
Oct 4, 2018 - HTML
Optimizing Mind static website v1
Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
Implementing text classification algorithms using the 20 newsgroups datasets, with python
Code for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Rule covering for interpretation and boosting
Predicting categories of scientific papers with advanced machine learning techniques involving class imbalance in multi-label data and explainable machine learning.
Code and simulations using biologically annotated neural networks
High precision anchor black box explanation algorithm
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
XAI-Analytics is a tool that opens the black-box of machine learning. It helps the user to understand the decision-making process of machine learning models.
Explainable AI: From Simple Rules to Complex Generative Models
Visualization toolkit for neural networks in PyTorch! Demo -->
All about explainable AI, algorithmic fairness and more
Automatic interpretable sales forecasting for R
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
Experiments with experimental rule-based models to go along with imodels.
Enfoque Estadístico del Aprendizaje - Trabajo práctico - Análisis exploratorio y interpretabilidad de modelos de regresión
Web based interpretability tool for LLMs using Huggingface and Inseq
The nnsight website, which explains and documents the open-source nnsight API
The website for NDIF, the National Deep Inference Fabric
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