🐉 Compute and work with indices of effect size and standardized parameters

🐉 Compute and work with indices of effect size and standardized parameters

A visualisation tool for the creation and analysis of graphs

A visualisation tool for the creation and analysis of graphs

An R package for experimental psychologists

An R package for experimental psychologists

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

Deep-learning seismic facies on state-of-the-art CNN architectures

Deep-learning seismic facies on state-of-the-art CNN architectures

Simple web page to calculate and interpret the numerology numbers derived from your name and birth date.

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

Dream Interpreter inside ComfyUI

Dream Interpreter inside ComfyUI

This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.

This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.