{"payload":{"pageCount":4,"repositories":[{"type":"Public","name":"jetson-generative-ai-playground","owner":"NVIDIA-AI-IOT","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":2,"issueCount":0,"starsCount":68,"forksCount":21,"license":null,"participation":[13,0,0,1,10,7,9,2,0,50,23,8,18,5,0,0,6,4,2,7,0,11,12,4,0,13,13,4,7,21,13,2,13,6,8,13,29,10,32,5,8,12,6,4,7,4,10,2,4,11,18,7],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-07T04:55:24.776Z"}},{"type":"Public","name":"nanoowl","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.","allTopics":["fast","tree","real-time","detect","transformers","inference","nvidia","zero-shot","jetson","tensorrt","jetson-agx-orin","jetson-orin-nano"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":19,"starsCount":215,"forksCount":38,"license":"Apache License 2.0","participation":[0,0,0,0,62,31,36,4,65,7,1,0,0,0,0,0,0,0,0,0,1,0,2,0,1,1,2,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-30T19:08:23.150Z"}},{"type":"Public","name":"deepstream_tao_apps","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Sample apps to demonstrate how to deploy models trained with TAO on DeepStream","allTopics":["deepstream","retinanet","dssd","tlt-model","tensorrt","yolov3"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":2,"issueCount":55,"starsCount":362,"forksCount":95,"license":"MIT License","participation":[7,2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,9,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,2,0,0,0,0,0,0,4,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-22T06:02:38.991Z"}},{"type":"Public","name":"jetson-platform-services","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A collection of reference AI microservices and workflows for Jetson Platform Services","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":2,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-16T23:10:07.992Z"}},{"type":"Public","name":"Lidar_AI_Solution","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":96,"starsCount":1223,"forksCount":211,"license":"Other","participation":[0,9,0,0,0,0,0,0,0,0,4,1,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,5,0,1,0,2,1,0,6,2,1,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-08T01:44:11.836Z"}},{"type":"Public","name":"jetbot","owner":"NVIDIA-AI-IOT","isFork":false,"description":"An educational AI robot based on NVIDIA Jetson Nano.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":13,"issueCount":38,"starsCount":2987,"forksCount":1021,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-06T15:27:13.472Z"}},{"type":"Public","name":"jetson-copilot","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A reference application for a local AI assistant with LLM and RAG","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":75,"forksCount":9,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,9,9,2,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-03T22:13:22.157Z"}},{"type":"Public","name":"whisper_trt","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project that optimizes Whisper for low latency inference using NVIDIA TensorRT","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":39,"forksCount":4,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,4,0,0,0,0,2,2,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-03T20:47:46.862Z"}},{"type":"Public","name":"deepstream_reference_apps","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Samples for TensorRT/Deepstream for Tesla & Jetson","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":12,"issueCount":0,"starsCount":1121,"forksCount":344,"license":"Other","participation":[3,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,3,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-29T07:10:20.808Z"}},{"type":"Public","name":"gesture_recognition_tlt_deepstream","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, repurpose it for hand detection using Transfer Learning Toolkit 3.0, and use it together with the purpose-built gesture recognition model. Once trained, we deploy this model on NVIDIA® Jetson™ using Deepstream SDK.","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":0,"starsCount":40,"forksCount":12,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:12:29.716Z"}},{"type":"Public","name":"deepstream_360_d_smart_parking_application","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Describes the full end to end smart parking application that is available with DeepStream 5.0","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":19,"issueCount":21,"starsCount":338,"forksCount":114,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:11:49.187Z"}},{"type":"Public","name":"ros2_deepstream","owner":"NVIDIA-AI-IOT","isFork":false,"description":"ROS 2 package for NVIDIA DeepStream applications on Jetson Platforms ","allTopics":["eloquent","real-time","deep-learning","robotics","deepstream","jetson","ros2"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":80,"forksCount":15,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:10:47.915Z"}},{"type":"Public","name":"deepstream-segmentation-analytics","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstration to do the industrial defect segmentation based on loading the image from directory and generate the output ground truth. ","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":1,"starsCount":11,"forksCount":5,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:10:09.962Z"}},{"type":"Public","name":"deepstream_triton_model_deploy","owner":"NVIDIA-AI-IOT","isFork":false,"description":"How to deploy open source models using DeepStream and Triton Inference Server","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":1,"issueCount":7,"starsCount":71,"forksCount":15,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:09:29.839Z"}},{"type":"Public","name":"Deepstream-Dewarper-App","owner":"NVIDIA-AI-IOT","isFork":false,"description":"This project demonstrate how to infer and track from a 360 videos by using the dewarper plugin. ","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":11,"starsCount":42,"forksCount":11,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:08:50.685Z"}},{"type":"Public","name":"deepstream_pose_estimation","owner":"NVIDIA-AI-IOT","isFork":false,"description":"This is a DeepStream application to demonstrate a human pose estimation pipeline.","allTopics":["real-time","computer-vision","tesla","deepstream","human-pose-estimation","jetson","tensorrt"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":2,"issueCount":2,"starsCount":290,"forksCount":67,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:08:17.679Z"}},{"type":"Public","name":"redaction_with_deepstream","owner":"NVIDIA-AI-IOT","isFork":false,"description":"An example of using DeepStream SDK for redaction","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":1,"issueCount":8,"starsCount":204,"forksCount":59,"license":"Other","participation":[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:06:59.668Z"}},{"type":"Public","name":"retinanet_for_redaction_with_deepstream","owner":"NVIDIA-AI-IOT","isFork":false,"description":"This sample shows how to train and deploy a deep learning model for the real time redaction of faces from video streams using the NVIDIA DeepStream SDK","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":2,"starsCount":36,"forksCount":12,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:06:07.976Z"}},{"type":"Public","name":"face-mask-detection","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":14,"starsCount":241,"forksCount":94,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T11:04:25.724Z"}},{"type":"Public","name":"ros2_jetson_stats","owner":"NVIDIA-AI-IOT","isFork":false,"description":"ROS 2 package for monitoring and controlling NVIDIA Jetson Platform resources","allTopics":["eloquent","robotics","jetson","ros2"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":54,"forksCount":12,"license":"MIT License","participation":[0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-26T19:39:22.026Z"}},{"type":"Public","name":"jetson_benchmarks","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Jetson Benchmark","allTopics":["benchmark","jetson","jetson-nano","xavier-nx"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":22,"starsCount":354,"forksCount":70,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-20T03:47:48.910Z"}},{"type":"Public","name":"torch2trt","owner":"NVIDIA-AI-IOT","isFork":false,"description":"An easy to use PyTorch to TensorRT converter","allTopics":["inference","pytorch","classification","tensorrt","jetson-tx2","jetson-xavier","jetson-nano"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":50,"issueCount":289,"starsCount":4513,"forksCount":670,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,25,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-17T13:31:26.193Z"}},{"type":"Public archive","name":"mmj_genai","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A reference example for integrating NanoOwl with Metropolis Microservices for Jetson","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":25,"forksCount":2,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,1,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-14T16:08:05.539Z"}},{"type":"Public","name":"mmj_utils","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A utility library to help integrate Python applications with Metropolis Microservices for Jetson","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":1,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T15:15:26.295Z"}},{"type":"Public","name":"NVIDIA-Optical-Character-Detection-and-Recognition-Solution","owner":"NVIDIA-AI-IOT","isFork":false,"description":"This repository provides optical character detection and recognition solution optimized on Nvidia devices.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":1,"starsCount":50,"forksCount":4,"license":"Other","participation":[0,0,0,0,1,2,5,0,1,2,1,3,0,0,0,0,1,7,2,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,2,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T01:45:54.895Z"}},{"type":"Public","name":"deepstream_dockers","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstrating how to make DeepStream docker images.","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":1,"issueCount":2,"starsCount":54,"forksCount":10,"license":"MIT License","participation":[2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-20T15:30:56.958Z"}},{"type":"Public","name":"cuPCL","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstrating how to use the libs of cuPCL.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":1,"issueCount":55,"starsCount":544,"forksCount":90,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-16T08:41:30.389Z"}},{"type":"Public","name":"deepstream_libraries","owner":"NVIDIA-AI-IOT","isFork":false,"description":" DeepStream Libraries offer CVCUDA, NvImageCodec, and PyNvVideoCodec modules as Python APIs for seamless integration into custom frameworks. ","allTopics":["computer-vision","gpu","cuda","image-processing","pytorch","nvidia","data-processing","cv-cuda","nvimagecodec","pynvvideocodec"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":1,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T08:23:16.298Z"}},{"type":"Public","name":"deepstream_parallel_inference_app","owner":"NVIDIA-AI-IOT","isFork":false,"description":"A project demonstrating how to use nvmetamux to run multiple models in parallel.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":8,"starsCount":83,"forksCount":20,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T07:40:09.249Z"}},{"type":"Public","name":"deepstream_lpr_app","owner":"NVIDIA-AI-IOT","isFork":false,"description":"Sample app code for LPR deployment on DeepStream","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":35,"starsCount":196,"forksCount":64,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T06:48:15.774Z"}}],"repositoryCount":108,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"NVIDIA-AI-IOT repositories"}