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Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
Efficient 3D human pose estimation in video using 2D keypoint trajectories
End-to-End Object Detection with Transformers
Recent Transformer-based CV and related works.
An implementation of attention mechanism using keras
a module for 3D semantic segmentation in point clouds.
Automatic Segmentation of Knee Cartilage from MRI using Deep Learning
A simple probabilistic programming language.
This repository includes the preprocessing steps for MRI Knee images. These files are then imported in my main model for Image Registration and Segmentation using Deep Learning
Localization -SLAM problem with Extended Kalman filter and Particle filter
Optimized manangement of wood stock of carpentry factories via Particles Swarm and Differential evolution DEGL
Implementation of Active Shape Model in Python (OpenCV).
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
A pytorch adversarial library for attack and defense methods on images and graphs
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
Basic of medical data analysis using Python.
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP