Pinned Repositories
Mobile-Health-Game
30DayOfFlutter-app
AEs
arbtt-plot
Plot graphs from arbtt-stats
continuous-authentication-anomaly-detection
Using CNNs to detect users through gyroscope data
GCNs
PatchGraphNet: Classify medical images using graph neural networks (GNNs) by following a pipeline that involves clustering, graph construction, graph learning, and graph classification.
LambdaGPTPaperSummeriser
This project is designed to automate the process of saving, summarizing, and re-uploading academic papers from the internet to a Notion database. It combines the use of Notion Scraper, AWS Lambda, and ChatGPT to achieve this automation.
Penumothroax-Semgntatoin---Undergrad-Dissertation
Neural Networks have revolutionised the healthcare industry by introducing Deep Learning models that reach human-level accuracy. In this work, a pipeline implementation is explored that tries to enhance the accuracy of Deep Learning models in the detection and segmentation of pneumothorax from a set of chest radiographs. This is done in the hopes of facilitating future applications in the medical field. By cascading a CNN and a U-Net, we ensure that the CNN will filter out all the cases with no pathology, i.e.’Normal’ cases, leaving the U-Net (trained on positive cases only) to focus on arranging a set of filters for the separation of pathology from the infected lungs. The models are cross validated on the same data to ensure consistency. The proposed method demonstrates higher accuracy in both segmenting and detecting the pathology. By implementing it with more complex architectures and integrating in the domain knowledge of radiologists, this methods can be applied in conjunction with other applications to rapidly triage and prioritise cases for the presence of anomalies.
SwinCup
SwinCup Pytorch implementation of SwinCup: Cascaded Swin Transformer for Histopathological Structures Segmentation in Colorectal Cancer
usama13o's Repositories
usama13o/GCNs
PatchGraphNet: Classify medical images using graph neural networks (GNNs) by following a pipeline that involves clustering, graph construction, graph learning, and graph classification.
usama13o/30DayOfFlutter-app
usama13o/AEs
usama13o/arbtt-plot
Plot graphs from arbtt-stats
usama13o/continuous-authentication-anomaly-detection
Using CNNs to detect users through gyroscope data
usama13o/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
usama13o/LambdaGPTPaperSummeriser
This project is designed to automate the process of saving, summarizing, and re-uploading academic papers from the internet to a Notion database. It combines the use of Notion Scraper, AWS Lambda, and ChatGPT to achieve this automation.
usama13o/SwinCup
SwinCup Pytorch implementation of SwinCup: Cascaded Swin Transformer for Histopathological Structures Segmentation in Colorectal Cancer
usama13o/cheatsheets
RStudio Cheat Sheets
usama13o/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
usama13o/container-image-lambda-boilerplate
Deploy python lambda functions with container images easily with pre-written IaC script.
usama13o/DeepSMOTE
Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
usama13o/deploy-code-server
Deploy code-server to the cloud with a few clicks ☁️ 👨🏼💻
usama13o/FaceDetection_Python
A trail test of python's Facedetectoin libraries
usama13o/Flutter
usama13o/flutter-chat
usama13o/GPTCVMaker
This project is a Streamlit application that uses OpenAI's GPT-4 model to generate a cover letter based on a job description, a CV, and a selected tone (Professional, Friendly, or Neutral). The cover letter is generated in LaTeX format.
usama13o/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
usama13o/Habit-Tracker
Craeting a flutter app to track habits and show progress
usama13o/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
usama13o/lambda-container-demo
usama13o/listing_scrapper
usama13o/mall
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
usama13o/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
usama13o/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
usama13o/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
usama13o/Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
usama13o/Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
usama13o/usama13o.github.io
usama13o/WidgetOfFlutter