Real time face recognition Using Facenet , pytorch, Tensorflow
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Updated
Jun 20, 2022 - Python
Real time face recognition Using Facenet , pytorch, Tensorflow
A production-ready AI system for diabetic retinopathy detection using custom PyTorch, evidential uncertainty quantification, lesion-aware attention, and clinical-grade preprocessing. Achieves 92%+ accuracy with <50ms inference.
Rice grain classification using image processing and handcrafted geometric feature extraction.
QuantaCore is an advanced hybrid orchestration framework designed to break through these classical hardware limitations. By seamlessly bridging modern deep learning frameworks (PyTorch) with Quantum Processing Units (QPUs), QuantaCore allows engineers to offload intractable optimization bottlenecks and complex tensor operations directly to quantum.
PHANTOM is an AI-powered phishing detection system that analyzes emails, messages, and URLs using NLP, machine learning, and cyber-threat intelligence to identify scams in real time.
Open-source framework for orchestrating autonomous AI agent colonies
Data Science With Python->Target: AI/ML
Learn Deep Learning A - Z
A Temporal-Causal GraphRAG architecture for Advanced Persistent Threat (APT) Next-TTP prediction using actor-aware knowledge graphs and RotatE embeddings.
Este código cria uma rede neural simples com três camadas totalmente conectadas.
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