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https://github.com/nvidia/dl4agx

Deep Learning tools and applications for NVIDIA AGX platforms.
https://github.com/nvidia/dl4agx

autonomous-driving computer-vision cuda deep-learning drive-agx embedded

Last synced: 15 days ago
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Deep Learning tools and applications for NVIDIA AGX platforms.

Host: GitHub
URL: https://github.com/nvidia/dl4agx
Owner: NVIDIA
Created: 2019-04-08T04:36:12.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2024-10-23T22:20:29.000Z (21 days ago)
Last Synced: 2024-10-24T11:25:44.878Z (20 days ago)
Topics: autonomous-driving, computer-vision, cuda, deep-learning, drive-agx, embedded
Language: Shell
Homepage:
Size: 22.3 MB
Stars: 158
Watchers: 11
Forks: 29
Open Issues: 14
Metadata Files:
- Readme: README.md

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README

        # DL4AGX

[![Conventional Commits](https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg)](https://conventionalcommits.org)

This repository contains model designs, deployment solutions for state-of-the-art networks, and inference samples for Autonomous Vehicle (AV) applications on NVIDIA DRIVE Platforms.

## Table of Contents

- [Deployment and Inference Solutions](./AV-Solutions/)

   - [BEVFormer INT8 Explicit Quantization](./AV-Solutions/bevformer-int8-eq/)

   - [DCNv4 TensorRT](./AV-Solutions/dcnv4-trt/)

   - [MTMI TensorRT](./AV-Solutions/mtmi/)

   - [Sparsity INT8 Training and TensorRT Inference](./AV-Solutions/SparsityINT8/)

   - [StreamPETR TensorRT](./AV-Solutions/streampetr-trt/)

   - [UniAD TensorRT](./AV-Solutions/uniad-trt/)

- [Hardware-friendly Models](./Models/)

   - [ConvSelfAttention](./Models/ConvSelfAttention/)

   - [DEST](./Models/DEST/)

   - [ReduceFormer](./Models/ReduceFormer/)

   - [Swin-Free](./Models/SwinFree/)