mdsakhawat's Stars
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
ClementPinard/SfmLearner-Pytorch
Pytorch version of SfmLearner from Tinghui Zhou et al.
ShahjalalShohag/Competitive-Programming-A-Complete-Guideline
wangyirui/AD_Prediction
Alzheimer's Disease Prediction by using ResNet, AlexNet
ChristophReich1996/Swin-Transformer-V2
PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].
SwinTransformer/MIM-Depth-Estimation
This is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.
zxcqlf/MonoViT
Self-supervised monocular depth estimation with a vision transformer
ashutosh1807/Depthformer
dsshim0125/SwinDepth
"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network" (ICRA 2023)
jianfenglihg/Unsupervised_depth_OpticalFlow_egomotion
ahmadchalhoub/research_implementations
ahbpp/VTDepth
dhrumilp15/we-need-to-go-deeper
A monocular depth estimation model architecture improved with semantic segmentation