maftouni Goto Github PK
Name: Maede Maftouni
Type: User
Company: Quantum-Si
Bio: Senior Data Scientist at Quantum-Si, ISE Ph.D. at Virginia Tech
Twitter: MaeVicissitudes
Location: New Haven, CT
Name: Maede Maftouni
Type: User
Company: Quantum-Si
Bio: Senior Data Scientist at Quantum-Si, ISE Ph.D. at Virginia Tech
Twitter: MaeVicissitudes
Location: New Haven, CT
100 Days of ML Coding
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
The most influential papers in convolutional attention mechanisms, suitable for image classification, image and video object segmentation and tracking
A curated list of awesome Machine Learning frameworks, libraries and software.
Making binary mask images from JSON annotation
Code & model files for Rahmandad, Lim & Sterman (2020), Estimating the global spread of COVID-19
COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT
We built a large lung CT scan dataset for COVID-19 by curating data from 7 different public datasets. These datasets have been publicly used in COVID-19 diagnosis literature and proven their efficiency in deep learning applications. Therefore, the merged dataset is expected to improve the generalization ability of deep learning methods by learning from all these resources together.
The Leek group guide to data sharing
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Draft of the fastai book
FEELVOS implementation in PyTorch; FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
PHP Image Manipulation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
:ramen: Minimalist Jekyll Template
Code for the Lovász-Softmax loss (CVPR 2018)
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Pandas is the library one should master for data wrangling and analysis, and to prepare data for machine learning pipeline. This repository is a jump start to Pandas and its most useful functions.
It is important not to split images of the same patient between the test and train sets to avoid overfitting. This repository splits a sample Covid/Normal classification dataset into test and train sets in a patient aware and stratified manner.
A very simple generative adversarial network (GAN) in PyTorch
RANet: Ranking Attention Network for Fast Video Object Segmentation (VOS), ICCV2019
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.