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hiker2046's Projects

paddle icon paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

pelee icon pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

peleenet icon peleenet

PeleeNet: An efficient DenseNet architecture for mobile devices

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-srresnet icon pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

pytorchocr icon pytorchocr

基于pytorch的ocr算法库,包括 psenet, pan, dbnet, sast , crnn

pytorchtocaffe icon pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

repnet-mdnet-vehiclereid icon repnet-mdnet-vehiclereid

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别,车辆再识别,车辆匹配,车辆检索,RepNet/MDNet的一种PyTorch实现

rtl8188gu icon rtl8188gu

This repo contains a Linux driver for the RTL8188GU

siamr-cnn icon siamr-cnn

Siam R-CNN two-stage re-detector for visual object tracking

tensorrt-ssd icon tensorrt-ssd

Use TensorRT API to implement Caffe-SSD, SSD(channel pruning), Mobilenet-SSD

terminal icon terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

text_detector icon text_detector

Text detection model that combines Retinanet with textboxes++ for OCR

textgenrnn icon textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

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