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A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
CBAM implementation on Keras
Gluon implementation of channel-attention modules: SE, ECA, GCT
Classification models trained on ImageNet. Keras.
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.
Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction
Dilated Convolution for Semantic Image Segmentation
Dilated Residual Networks
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Deep Learning Specialization course by IIT Roorkee (Using python, numpy, pandas, sklearn,TensorFlow 2)
here are some classic networks for image classification implement by pytorch
Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)
Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020
Implementation of Squeeze and Excitation Networks in Keras
Combination of Keras CNN with Scikit-learn classifiers.
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.