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Master list of data and research on applying machine learning to COVID-19 and other viruses
A collection of resources for Deep Neuroevolution or evolutionary algorithms for Deep Learning
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
A Bayesian group factor model with structured sparsity
Implementation of the CheXNet network (PyTorch)
Using cifar-10 datasets to learn deep learning.
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Neural network model for classifying chest X-rays by presence of COVID-19 features
COVID-Net Open Source Initiative
COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images
Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19
COVID-19 imaging-based AI paper collection
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Feature fusion using Discriminant Correlation Analysis (DCA)
Using Imblearn To Tackle Imbalanced Data Sets
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning Papers on Medical Image Analysis
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Methods and Implements of Deep Clustering
This is my some notes and code in my deep learning
A collection of various deep learning architectures, models, and tips
Deep Learning Toolbox
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
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.