probing

Subprober is a powerful and efficient subdomain scanning tool written in Python. With the ability to handle large lists of subdomains. The tool offers concurrent scanning, allowing users to define their preferred concurrency level for faster results. Whether you are on Linux, Windows, or macos

[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240

Transformer Architectures for Generative AI

A simple openGL 2D plotter for quickly updated data.

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Evaluate interpretability methods on localizing and disentangling concepts in LLMs.

Network probing tool crafted for datacenters (but not only)

[ICLR 2026] - Official implementation of "Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency"

Framework for probing tasks

The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".

CNC mills need a touch sensor to measure e.g. the center of a workpiece. This repository hold data on how to build such a sensor and the code to operate it with a WLAN based basestation.

Stigix is a lab platform to validate SD‑WAN and SASE. ​ It unifies SaaS traffic generation, security tests, convergence probes, and voice/IoT/VyOS simulations in one web UI

A library & tool for probing, parsing, and validating security.txt files as specified in RFC 9116 🚀📚

Tools, scripts and tips useful during OSINT investigations and reconnaissance.

[NAACL 2022 Findings]Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning

Comparison of Hashing Algorithms - Double Hashing, Robin Hood Hashing Cuckoo Hashing with Java's inbuilt HashMap/ HastSet over million of add(), contains() and remove() operations.

Discourse Probing of Pretrained Language Models. In Proceedings of NAACL 2021.

[CVPR 26] Structural Graph Probing of Vision-Language Models

Official repository for the paper: "Probing LLMs for Joint Encoding of Linguistic Categories." Findings of EMNLP 2023.

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors