mksarker Goto Github PK
Name: Md. Mostafa Kamal Sarker (Ph.D.)
Type: User
Company: University of Oxford
Location: Oxford
Name: Md. Mostafa Kamal Sarker (Ph.D.)
Type: User
Company: University of Oxford
Location: Oxford
[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Pointers to large-scale underwater datasets and relevant resources.
Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes
Caffe: a fast open framework for deep learning.
Accelerated deep learning R&D
Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].
a generalist algorithm for cellular segmentation
CKDNet for skin lesion classification and segmentation
Concert data into coco version from masks
COCO Json converter python script for DAVIS 2016
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.
Full package for applying deep learning to virtual slides.
Implementation of recent Deep Learning papers
This repository contains implementations and illustrative code to accompany DeepMind publications
the boundary detection of the tumor
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
E(2)-Equivariant CNNs Library for Pytorch
A hybrid aerial/underwater vehicle proposal. Co-Led Programming Team
Web-based efficient dual attention networks to detect COVID-19 from X-ray images
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Recognizing Food Places in Egocentric Photo-streams
Fast R-CNN
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.