There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Hermes-Deepstream
Hermes is a Wildfire detection system that utilizes Computer Vision and is accelerated using NVIDIA DeepstreamActivity-Recognition-TensorRT
3D ResNet Video Classification accelerated by TensorRTYOLOv4-OpenCV-CUDA-DNN
Run YOLOv4 directly with OpenCV using the CUDA enabled DNN module.YOLOv4-Deepstream
YOLOv4 accelerated wtih TensorRT and multi-stream input using Deepstreamyolov8-deepstream-6-1
YOLOv8 by Ultralytics in DeepStream 6.1Centerface-Deepstream
Centerface ONNX accelerated with Deepstream 5.1ShredFPSOpponents
Pipeline Game Input to YOLOv3 Object Detection to detect opponents.vector-advanced-ai
Vector with Advanced AI compatibilitiesHyperspectral-Imaging
Python Script to process Hyperspectral images using openCV and TensorFlowPhoto-Realistic-Image-Stylization
Whitening and Colorization Transform from the paper "A Closed-form Solution to Photorealistic Image Stylization"gemma-nanoowl-whisper
Repository that combines Zero-Shot object detection, LLMs and ASR for a whack demoyolov5-autoannotator
Annotate datasets with a semi-trained or fully trained YOLOv5 modelFasterRCNN-TLT-Triton
End-to-end FasterRCNN training and deployment with TLT 3.0, Deepstream and Triton Inference ServerLSTM-TimeSeries
Future forecast using LSTM RNN for Time Series Dataretinaface-onnx
RetinaFace ONNX Export and Inferenceaegir-core
NASA Space Apps 2021 Submission for AI/ML plastic marine debris problem statementTF-ObjectDetection-Multithread
Object Detection using Tensorflow with Multithreading supportyolov7-deepstream-6-1
YOLOv7 with NVIDIA DeepStream 6.1Quantum-Programming-Exps
My experiments with Quantum ProgrammingNSAC-NULLPointers
Entry for NASA Space Apps Challenge 2020 | Spot that Fire V3.0YOLOv3-PyTorch
YOLOv3 implemented in PyTorchnvidia-tlt-get-started
Repository with resources to get started with NVIDIA's Transfer Learning Toolkit 3.0Love Open Source and this site? Check out how you can help us