Popular GitHub Repositories for Sensitivity

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Tensorflow tutorial for various Deep Neural Network visualization techniques

[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification

[NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature?Sensitivity"

An AI-driven tool integrating Abaqus and OpenAI's LLM for automating finite element simulations, including input file generation, job execution, stress extraction, parametric studies, and sensitivity analysis, streamlining complex workflows for enhanced decision-making.

A dynamic attentive graph model for cardiac MRI image reconstrunction of CMRxRecon dataset with PromptUnet for sensitivity map estimation.

LATGCN, a GCN model with sensitivity as regularizer

In the same time, flames (such as rants, taunts, and squalid phrases) are offensive/abusive phrases which might attack or offend the users for a variety of reasons. An automatic discriminative software with a sensitivity parameter for flame or abusive language detection would be a useful tool.

katmer is a powerful library for optimizing the design of optical thin films using automatic differentiation via JAX and Equinox, enabling efficient and accurate inverse design solutions.

Complete warp signature detection workflow transforming curvature analysis into quantum-geometry signatures, synthetic detector data, and sensitivity comparisons for observational validation

Sensitivity analysis using Natural Language Processing techniques. Analyze customers reviews towards a Amazon great Product Alexa.

Investigating a neural network response to input parameters using sensitivity analysis techniques.

This repository is based on my research work "Detecting Freezing of Gait in Parkinson's Disease Patients Using Multi-Modal Machine Learning"

The First Benchmark Environment for Sensitivity Awareness