NVIDIA / tao_pytorch_backend
TAO Toolkit deep learning networks with PyTorch backend
☆91Updated 2 months ago
Alternatives and similar repositories for tao_pytorch_backend:
Users that are interested in tao_pytorch_backend are comparing it to the libraries listed below
- Quick start scripts and tutorial notebooks to get started with TAO Toolkit☆63Updated 4 months ago
- Sample app code for deploying TAO Toolkit trained models to Triton☆85Updated 4 months ago
- A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson☆163Updated last year
- ☆89Updated 4 months ago
- A reference example for integrating NanoOwl with Metropolis Microservices for Jetson☆29Updated 7 months ago
- A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.☆289Updated 5 months ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆96Updated 2 months ago
- This repository provides YOLOV5 GPU optimization sample☆101Updated 2 years ago
- A project demonstrating how to make DeepStream docker images.☆65Updated last month
- This repository provides optical character detection and recognition solution optimized on Nvidia devices.☆63Updated last week
- ☆32Updated last year
- Edge AI Model Development Tools☆36Updated 2 months ago
- A project demonstrating how to use nvmetamux to run multiple models in parallel.☆99Updated 3 months ago
- ☆94Updated this week
- Package for deploying deep learning models from TAO Toolkit☆17Updated 4 months ago
- A collection of reference AI microservices and workflows for Jetson Platform Services☆27Updated 3 weeks ago
- Workflow for generating synthetic data and training CV models.☆47Updated last year
- NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.☆187Updated 7 months ago
- ☆168Updated last year
- Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector…☆226Updated 3 months ago
- A tutorial for getting started with the Deep Learning Accelerator (DLA) on NVIDIA Jetson☆308Updated 2 years ago
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆75Updated 2 years ago
- A reference application for a local AI assistant with LLM and RAG☆98Updated last month
- Deep Learning tools and applications for NVIDIA AGX platforms.☆183Updated last week
- TAO best practices. How to adapt for a new domain, new classes, and generalize the model with a small dataset using Nvidia's TAO toolkit☆24Updated 2 years ago
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models☆58Updated last year
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models☆55Updated 10 months ago
- A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.☆44Updated 2 years ago
- A multibranch neural net architecture. (PyTorch)☆86Updated 4 years ago
- This repository is helpful for installing DeepStream SDK and it's python bindings in dGPU machine.☆32Updated 9 months ago