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Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Pytorch implementation of disentangled generative model
Anomaly detection with diffusion models
The official code for our TIP paper 'LayerCAM: Exploring Hierarchical Class Activation Maps for Localization'
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
Recent weakly supervised semantic segmentation paper
MONAI Versatile Imaging Segmentation and Annotation
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
⭐️ Companies that don't have a broken hiring process
🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer. (This is currently not being actively maintained)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Explainable AI Using Generative Adversarial Networks
Exploring CNN and ViT for Weakly-Supervised Medical Image Segmentation
Fully convolutional encoder-decoder network with dense conditional random fields post-processing for cell segmentation
Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vi…
[CVPR'24] DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.
[MICCAI'24] Weakly-supervised Medical Image Segmentation with Gaze Annotations
Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models
the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"
The code of ours paper "Multi-task learning for concurrent grading diagnosis and semi-supervised segmentation of honeycomb lung in CT images"
Detecting Honeycomb and Ground Glass areas in lung CT images with deep learning techniques.
Curated list of project-based tutorials