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real-time-inference

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securade / sentinel

Star 15

Securade.ai Sentinel - A monitoring and surveillance application that enables visual Q&A and video captioning for existing CCTV cameras.

machine-learning computer-vision cctv surveillance artificial-intelligence vlm blip video-analytics rtsp-stream visual-question-answering live-video-analytics safety-monitoring vilt worker-safety video-monitoring generative-ai visual-captioning visual-large-language-models automated-surveillance real-time-inference
  • Updated Apr 6, 2025
  • Python

aimaster-dev / Blood-Brain-Detect-System

Star 9

This project uses YOLO for real-time leukemia detection in blood samples and CNNs for classifying brain hemorrhages in MRI scans. It aims to support faster, more accurate medical diagnostics through deep learning.

python deep-learning cnn healthcare mri medical-imaging yolo classification diagnostics convolutional-neural-networks object-detection early-detection medical-ai leukemia-research blood-analysis hemorrhage-detection healthcare-automation real-time-inference
  • Updated May 28, 2025
  • Python

ReverendBayes / YOLO11m-Car-Damage-Detector

Star 7

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

computer-vision deep-learning cnn pytorch convolutional-neural-networks object-detection image-segmentation oem-data-tool anomaly-detection car-insurance insurance-claims googlecolab pretrained-model ultralytics real-time-inference yolo11 yolo11-detection car-inspection ai-in-automotive
  • Updated Jun 1, 2025
  • Jupyter Notebook

SD7Campeon / Comment-Toxicity-Detection-and-Classification

Star 1

LLM-inspired BiLSTM pipeline for real-time, multi-label toxicity inference across adversarial discourse modalities.

nlp sklearn transformer discourse-analysis multi-label-classification affective-computing keras-tensorflow text-vectorization bilstm nlp-pipeline deep-sequential-model toxicity-analysis toxicity-prediction toxicity-detection toxicity-classification llm subword-tokenization real-time-inference contextual-nlp
  • Updated May 15, 2025
  • Jupyter Notebook

tinh2044 / YOLO12-UnderWater

Star 1

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).

computer-vision deep-learning image-processing pytorch gpu-acceleration object-detection gradio evaluation-metrics data-augmentation attention-mechanisms onnx model-export training-pipeline mixed-precision-training underwater-object-detection underwater-imaging real-time-inference yolov12 environmental-adaptation brackish-water
  • Updated Jun 17, 2025
  • Python

Lucky-akash321 / Multilingual-Customer-Support-using-Sagemaker

Star 0

The Multilingual AI Customer Support System leverages AWS SageMaker and LORA to build scalable AI-driven solutions that provide multilingual customer support. It integrates machine learning models for real-time responses, ensuring efficient and personalized customer service.

machine-learning natural-language-processing data-preprocessing cloud-architecture aws-sagemaker low-rank-adaptation real-time-inference multilingual-ai-models multilingual-ai-model
  • Updated Feb 12, 2025
  • Python

levisstrauss / Face-Mask-Detection-System-with-ResNet18

Star 0

Deep learning system for real-time face mask detection achieving 98.2% accuracy using ResNet18 architecture, PyTorch, and Gradio. Features efficient inference (0.12s), optimized model size (44.7MB), and a balanced dataset of 20,000 images for robust production deployment.

machine-learning ai computer-vision deep-learning pytorch image-classification resnet transfer-learning gradio edge-computing face-mask-detection production-deployment real-time-inference
  • Updated May 21, 2025
  • Python

codaley / objectdet-tflitemm

Star 0

Custom object detection project using TensorFlow Lite Model Maker with an EfficientDet-Lite2 backbone. Trained to detect rocks and bags, deployed to Android for real-time inference on a Pixel 7a. Focused on efficient edge-device performance and streamlined model integration.

machine-learning computer-vision object-detection android-app tensorflow-lite edge-ai dataset-preparation real-time-inference efficientdet-lite2
  • Updated Dec 16, 2024
  • Jupyter Notebook

omar-kabeer / transaction_success_optimization

Star 0

A machine learning system that optimizes financial transaction success rates through intelligent routing. Combines XGBoost, neural networks, and reinforcement learning to predict transaction outcomes and implement optimal routing strategies in real-time. Features API integration with payment systems, continuous model retraining, performance monitor

docker aws machine-learning reinforcement-learning dashboard ecs fintech ab-testing performance-monitoring predictive-analytics api-design containerization python-development continuous-learning transaction-processing fastapi model-monitoring xgboost-classifier real-time-inference payment-optimization
  • Updated Mar 23, 2025
  • Jupyter Notebook

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