xiguadong's repositories

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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YOLOX

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.

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520

WN

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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CMake-Cookbook

:book: 作为对《CMake Cookbook》的中文翻译。

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models

A collection of pre-trained, state-of-the-art models in the ONNX format

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Msnhnet

🔥 A mini pytorch inference framework which inspired from darknet.

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My520

520表白神器

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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nstools

Some meaningless nscripter tools.

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onnx

Open standard for machine learning interoperability

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onnx-modifier

A tool to modify onnx models in a visualization fashion, based on Netron and flask.

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onnx_op_test_data

extract backend test data from onnx repo

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Vitis-AI

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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yolov5-rt-stack

yolort / yet another yolov5, with its runtime stack for libtorch, onnx, tvm and specialized accelerators

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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