NMadhub

Pinned Repositories

Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
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azure-iot-edge-deepstream-module-with-iot-central
Demonstration using the the Nvidia DeepStream Module from the Azure Marketplace with Azure IoT Central
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bodyposenet-on-deepstream
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DeepLearningExamples
Deep Learning Examples
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deepops
Tools for building GPU clusters
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deepstream-lpr-python-version
Python version for NVIDIA Deepstream's LPR. https://developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognition-app/
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deepstream-rtspsrc-yolo
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deepstream6.1-yolov8
Latest object-detection SOTA model YOLOv8 with DeepStream!
Language:C++2 1 01
Deepstream_multicamera
This Deepstream application showcases Multi-camera Object Detection and Tracking using YOLOv4 model running with High FPS.
Language:C++5 1 05
HER-workshop
This workshop is tailored for university graduates eager to explore the synergy between artificial intelligence, deep learning, and robotics using NVIDIA Jetson devices and the robust Metropolis SDK.
Language:Jupyter Notebook2 1 03

NMadhub's Repositories

NMadhub/azure-iot-edge-deepstream-module-with-iot-central
Demonstration using the the Nvidia DeepStream Module from the Azure Marketplace with Azure IoT Central
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NMadhub/deepstream-lpr-python-version
Python version for NVIDIA Deepstream's LPR. https://developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognition-app/
Language:Python0 0 00
NMadhub/deepstream-rtspsrc-yolo
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NMadhub/deepstream-test1-segmentation
Modified deepstream-test1 sample app to accept segmentation models and output the masks. There's also a CMake file for those who like it better than Makefiles.
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NMadhub/Iguana-detection-on-Nvidia-Jetson-Nano-for-monitoring
This page is the Github repo of the open source project "Iguana detection and monitoring" in the Nvidia Jetson community. Using Jetson Nano with Nvidia Deepstream, we can detect iguana and streaming data in real time. A web-based UI is built to monitor the streaming data.
NMadhub/multi-node-examples
Examples for Training Multi-Node with PyTorch and PyTorch Lightning
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NMadhub/NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano
This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.
NMadhub/NVIDIA-Jetson
NVIDIA Jetson series
NMadhub/Robot-RACECAR
Self driving 1/10 RC Race Car Robot