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xiguadong's Projects

bevformer icon 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.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

models icon models

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

msnhnet icon msnhnet

🔥 A mini pytorch inference framework which inspired from darknet.

ncnn icon ncnn

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

onnx icon onnx

Open standard for machine learning interoperability

onnx-modifier icon onnx-modifier

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

paddleocr icon 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)

ppq icon ppq

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

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-unet icon pytorch-unet

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

tengine icon tengine

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

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

vitis-ai icon vitis-ai

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

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

yolov5-rt-stack icon yolov5-rt-stack

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

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