triton-inference-server / dali_backend
The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
☆134Updated this week
Alternatives and similar repositories for dali_backend
Users that are interested in dali_backend are comparing it to the libraries listed below
Sorting:
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆200Updated 3 weeks ago
- Common source, scripts and utilities for creating Triton backends.☆321Updated last week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆476Updated 3 weeks ago
- The Triton backend for TensorRT.☆75Updated this week
- This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server☆283Updated 2 years ago
- The Triton backend for the ONNX Runtime.☆144Updated last week
- Common utilities for ONNX converters☆268Updated 5 months ago
- ☆31Updated 2 years ago
- Common source, scripts and utilities shared across all Triton repositories.☆71Updated 2 weeks ago
- The Triton backend for the PyTorch TorchScript models.☆150Updated last week
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆608Updated this week
- A pytorch to tensorrt convert with dynamic shape support☆260Updated last year
- ☆34Updated last year
- Count number of parameters / MACs / FLOPS for ONNX models.☆92Updated 6 months ago
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆620Updated this week
- Useful tensorrt plugin. For pytorch and mmdetection model conversion.☆165Updated 7 months ago
- triton server ensemble model demo☆30Updated 3 years ago
- Decode JPEG image on GPU using PyTorch☆90Updated last year
- Demonstration of the use of TensorRT and TRITON☆16Updated 4 years ago
- How to deploy open source models using DeepStream and Triton Inference Server☆79Updated 10 months ago
- ⚡ Useful scripts when using TensorRT☆242Updated 4 years ago
- ☆52Updated 4 years ago
- This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes☆61Updated 11 months ago
- ☆53Updated 3 years ago
- ☆18Updated last month
- Sample app code for deploying TAO Toolkit trained models to Triton☆87Updated 8 months ago
- The core library and APIs implementing the Triton Inference Server.☆126Updated last week
- A Toolkit to Help Optimize Large Onnx Model☆156Updated 11 months ago
- A simple tool that can generate TensorRT plugin code quickly.☆231Updated last year
- Advanced inference pipeline using NVIDIA Triton Inference Server for CRAFT Text detection (Pytorch), included converter from Pytorch -> O…☆33Updated 3 years ago