October 8, 2021 Transformer

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

optional arguments: -h, –help show this help message and exit –gpu_device GPU_DEVICE Select specific GPU to run the model –batch-size N Input batch size for training (default: 64) –epochs N Number of epochs to train (default: 20) –num-class N Number of classes to classify (default: 10) –lr LR Learning rate (default: 0.01) –weight-decay WD Weight decay (default: 1e-5) –model-path PATH Path to save

October 8, 2021 Deep Learning

Deep learning based app to remove logos

October 8, 2021 PyTorch

Unofficial PyTorch implementation of MobileViT

Overview This is a PyTorch implementation of MobileViT specified in “MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer“, arXiv 2021. Usage import torch from mobilevit import mobilevit_xxs net = mobilevit_xxs() img = torch.randn(1, 3, 256, 256) out = net(img) Credits Code adapted from MobileNetV2 and ViT. GitHub https://github.com/chinhsuanwu/mobilevit-pytorch

October 8, 2021 Graphics

Turtle graphics Built With Python

Turtle graphics || Python Rainbow (রংধনু) : Rainbow.using.Python.–.Python.Turtle.graphics.mp4 Human robot (মানব রোবট) : Draw.a.human.robot.using.python.–.Turtle.graphics.mp4 Orthocoronavirinae (করোনাভাইরাস ): Draw.Orthocoronavirinae.using.python.mp4 GitHub https://github.com/Jubair-Ahmed-Junjun/turtle

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