mahendrabairagi / AWS_ML_At_Edge_With_NVIDIA_Jetson_NanoLinks
☆46Updated 6 years ago
Alternatives and similar repositories for AWS_ML_At_Edge_With_NVIDIA_Jetson_Nano
Users that are interested in AWS_ML_At_Edge_With_NVIDIA_Jetson_Nano are comparing it to the libraries listed below
Sorting:
- ☆18Updated 5 years ago
- Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural langu…☆302Updated last year
- Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed☆133Updated 2 years ago
- How to run Keras model on Jetson Nano☆68Updated 5 years ago
- Describes the full end to end smart parking application that is available with DeepStream 5.0☆348Updated last year
- Examples using TensorFlow Lite API to run inference on Coral devices☆186Updated last year
- End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS…☆40Updated 5 years ago
- Small code snippets that show how to stream camera images to a Coral device.☆390Updated last year
- Get information about the NVIDIA Jetson OS environment. Lists L4T and JetPack versions, along with major libraries.☆226Updated 6 months ago
- Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) f…☆210Updated 6 years ago
- This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK☆82Updated last year
- Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.☆243Updated 3 years ago
- An SD card image for web programming AI projects with NVIDIA Jetson Nano☆214Updated last year
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated 2 years ago
- ☆24Updated 5 years ago
- Python api for tensorrt implementation of yolov2☆34Updated 6 years ago
- A notebook that demonstrates how to use the NVIDIA Intelligent Video Analytics suite to detect objects in real-time. We use Transfer Lear…☆28Updated 6 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 7 months ago
- Natural language processing & computer vision models optimized for AWS☆142Updated 3 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 4 months ago
- Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19☆249Updated last year
- Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator…☆157Updated 2 years ago
- Security camera with Raspberry pi and NVIDIA Jetson platforms☆182Updated 5 years ago
- Running CUDA containers on the Jetson platform☆144Updated 4 years ago
- deepstream 4.x samples to deploy TLT training models☆85Updated 5 years ago
- Openvino environment with docker☆69Updated 5 years ago
- Fast Object Detector for the Jetson Nano☆101Updated 6 years ago
- application for running facial recognition, neural style transfer, etc. on Nvidia Jetson Nano☆20Updated 6 years ago
- 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 NVID…☆179Updated 4 years ago
- Object detection on Jetson Nano, Raspberry Pi and Laptop☆54Updated 3 years ago