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yunwuhen's Projects

ceit-pytorch icon ceit-pytorch

Implementation of Convolutional enhanced image Transformer

chatbot icon chatbot

一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

cifar-zoo icon cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

cvpytorch icon cvpytorch

CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

divide-and-co-training icon divide-and-co-training

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

fmix icon fmix

Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

fmix-paper-implementation icon fmix-paper-implementation

In this repo, I have implemented Fmix, Cutmix and Mixup on the Fashion MNIST dataset using PreAct ResNet18. This is an attempt to reprdouce the results from this paper: https://arxiv.org/abs/2002.12047

gridmixup icon gridmixup

A GridMixup augmentation, inspired by GridMask and CutMix

mixup icon mixup

Implementation of the mixup training method

models icon models

Models and examples built with TensorFlow

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)

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