ultralytics
ultralytics/ultralyticsDeep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…
captcha-bypassgeneral-purpose-utilitiesmachine-learning+1
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ultralytics/ultralyticsDeep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…
data-privacy-stack/presidioAn open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports…
secretflow/secretflowA unified framework for privacy-preserving data analysis and machine learning
poppopjmp/vmdragonslayerMulti-engine framework for unpacking and analyzing VM-protected binaries using dynamic taint tracking, symbolic execution, pattern classification,…
mamadou-keita/deeclipImplementation of paper "DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images"
renweimeng/vlun-agent-xVulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection
safety-research/bloomAutomated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…
user1342/droiddetectiveA machine learning malware analysis framework for Android apps.
syscallx-18113/apkx-hunterC-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…
bkcs-hust/lstm-miA LSTM based framework for handling multiclass imbalance in DGA botnet detection
munshi007/aura-statePython framework for building LLM workflows as state machines with formal verification via Z3 theorem proving, CTL model checking, and conformal…
telefonica/omlaspFramework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…
c2dc/anomaly-flowFramework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.
toxy4ny/delirium-ai-safety-benchmarkA diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. **Delirium** is not…
erroristotle/dvdr_llmEnsemble framework for software vulnerability detection and repair using multiple large language models, with consensus analysis and evaluation tools…
iqsec-lab/freemocaMemory-free continual learning framework for malware classification using mode connectivity-based interpolation. Supports class-incremental and…
jd0965199-oss/ethibenchEvaluation framework for AI penetration testing agents that measures validated vulnerability discovery using LLM-based semantic matching, bipartite…
microsoft/pyritOpen-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…