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Nico Schröder's starred repositories

deepstream-yolo-e2e

Implementation of End-to-End YOLO Models for DeepStream

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deepstream-yolov9

Implementation of Nvidia DeepStream 7 with YOLOv9 Models.

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triton-server-yolo

This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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JAX-Toolbox

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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python_backend

Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.

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dali_backend

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

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tutorials

This repository contains tutorials and examples for Triton Inference Server

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tensorflow-onnx

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

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semantic-segmentation

Nvidia Semantic Segmentation monorepo

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imgaug

Image augmentation for machine learning experiments.

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lost

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

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lost_yolov3_tf2

Adaptions of pylessons repo for yolo training (https://github.com/pythonlessons/TensorFlow-2.x-YOLOv3)

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flutter_starter_templates

Start different types of projects quickly

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server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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SparkFun_VEML6075_Arduino_Library

Arduino library for the VEML6075 UVA/UVB/UV index sensor

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